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	<id>https://www.na-mic.org/w/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Tamekue</id>
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	<updated>2026-04-28T23:46:57Z</updated>
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	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=71450</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=71450"/>
		<updated>2011-10-18T12:19:17Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface so that we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameters are less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK modules avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and visualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;7&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which improves the user-friendliness by reducing the number of parameters usually required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''Almost..'''&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write and complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''Almost..'''&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=Events:Slicer4-Review-07-2011&amp;diff=69894</id>
		<title>Events:Slicer4-Review-07-2011</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=Events:Slicer4-Review-07-2011&amp;diff=69894"/>
		<updated>2011-07-18T21:18:02Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: /* Attending */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=What=&lt;br /&gt;
Slicer 4 review and programming sprint&lt;br /&gt;
=When=&lt;br /&gt;
July 19, 10 am -21, 4pm 2011&lt;br /&gt;
&lt;br /&gt;
=Who=&lt;br /&gt;
Slicer 4 core programmers&lt;br /&gt;
=Where=&lt;br /&gt;
Demo room, 2nd floor, 1249 Boylston Street, Boston, MA&lt;br /&gt;
=Why=&lt;br /&gt;
*Identify roadmap for a Slicer 4 product release for the [http://www.na-mic.org/Wiki/index.php/RSNA2011_Planning Nov 27-Dec.2 RSNA demos at the 3DSlicer Booth]&lt;br /&gt;
&lt;br /&gt;
=Work on=&lt;br /&gt;
==Main Topics==&lt;br /&gt;
*Critical Features&lt;br /&gt;
*Bug fixes&lt;br /&gt;
*Download setup and integration with the existing Slicer website&lt;br /&gt;
&lt;br /&gt;
== Priority TBD ==&lt;br /&gt;
===UI===&lt;br /&gt;
[[image:SlicerColorSelector.PNG|400px|right|thumb|SlicerColorSelector]]&lt;br /&gt;
* Reformat capabilities: We need a widget and possibly a slider based interface.&lt;br /&gt;
* Main GUI&lt;br /&gt;
** face lift for the Slice viewers: reduce permanent non-image components. Reduce the number and depth of submenus.&lt;br /&gt;
** 3D viewer should have similar appearance to slice viewers&lt;br /&gt;
* Update tutorials&lt;br /&gt;
** After main gui&lt;br /&gt;
** Using GUI Testing&lt;br /&gt;
* Volume rendering transfer function&lt;br /&gt;
** Jittery, and banding&lt;br /&gt;
** Threshold&lt;br /&gt;
** Better appearance of the elements of the transfer function. They look ugly and are not antialiased. Check the graph in [https://www.ohloh.net/p/slicer Ohloh] and mouse over it. Looks much nicer!&lt;br /&gt;
** Group selection and shifting&lt;br /&gt;
*Color selector&lt;br /&gt;
**the default color selector should be the one that is slicer customized, not the Qt default.&lt;br /&gt;
**add search function to the labels&lt;br /&gt;
&lt;br /&gt;
===Under the hood===&lt;br /&gt;
* GPU Volume Rendering&lt;br /&gt;
** Support for ATI and MAC&lt;br /&gt;
** How many GPU render engines to support/provide? &lt;br /&gt;
***Ron says: I just need a single one that works for flythroughs and can handle the combination of volume rendering, cross-sections, surface models, annotations&lt;br /&gt;
*hierarchies&lt;br /&gt;
**display: the current display is confusing.&lt;br /&gt;
**drag and drop capability&lt;br /&gt;
* Annotations&lt;br /&gt;
** vtkWidgets&lt;br /&gt;
** GUI layout&lt;br /&gt;
** compositing with volume rendering does not work properly&lt;br /&gt;
** Working group (?)&lt;br /&gt;
&lt;br /&gt;
===Infrastructure===&lt;br /&gt;
* Move to git/gerrit (TBD - can it be used with git-svn or is the suggestion to retire svn?)&lt;br /&gt;
* GUI Testing&lt;br /&gt;
** Instrumenting CTK widgets&lt;br /&gt;
** Conversion of tutorials to tests&lt;br /&gt;
** What will this provide that [http://sikuli.org/ Sikuli] does not?  Sonia is ready to use Sikuli unless there is a good reason not to.&lt;br /&gt;
* Tk/Tcl&lt;br /&gt;
** Removing the last dependencies in core interaction loops&lt;br /&gt;
** Maintain functionality for Editor&lt;br /&gt;
* Performance optimization&lt;br /&gt;
** Module for profiling events&lt;br /&gt;
* Extensions&lt;br /&gt;
** Support for superbuild&lt;br /&gt;
** Requirements for testing, documentation, tutorials, and continued support from developers&lt;br /&gt;
*** How to name different levels of compliance&lt;br /&gt;
* Downloads&lt;br /&gt;
** Statistics on packages and on individual extensions&lt;br /&gt;
** Web pages&lt;br /&gt;
** Technologies&lt;br /&gt;
* Charts&lt;br /&gt;
** Reference Implementation (Marcus)&lt;br /&gt;
* MIDAS&lt;br /&gt;
** sceneviews support&lt;br /&gt;
* Interactive CLI modules&lt;br /&gt;
&lt;br /&gt;
=Agenda=&lt;br /&gt;
&lt;br /&gt;
=Attending=&lt;br /&gt;
#Ron Kikinis&lt;br /&gt;
#Steve Pieper&lt;br /&gt;
#Nicole Aucoin&lt;br /&gt;
#Julien Finet&lt;br /&gt;
#Daniel Haehn (only 07/19)&lt;br /&gt;
#Jean-Christophe Fillion-Robin&lt;br /&gt;
#Stephen Aylward&lt;br /&gt;
#Will Schroeder&lt;br /&gt;
#Jim Miller&lt;br /&gt;
#Suares Tamekue Tatuebu&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=69706</id>
		<title>2011 Summer Project Week Stenosis Detector</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=69706"/>
		<updated>2011-06-30T19:54:18Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: /* Key Investigators */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2011.png|[[2011_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:VesselnessFilter.png| Vesselness filter&lt;br /&gt;
Image:Level Set Segmentation.png| Level set segmentation&lt;br /&gt;
Image:Optimization.png| Optimization of the Level set segmentation&lt;br /&gt;
Image:CenterlineComputation.png| Centerline computation&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* University of Heidelberg, Germany: Suares Tamekue Tatuebu&lt;br /&gt;
* UPenn: Daniel Haehn&lt;br /&gt;
* [http://www.orobix.com Orobix], Italy: Luca Antiga&lt;br /&gt;
* SPL: Ron Kikinis&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation using a wizard-based interface.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach for developing the stenosis detector is: first vessel enhancement, level-set segmentation, network extraction and then quantification and visualization of stenosis.&lt;br /&gt;
&lt;br /&gt;
The tool will be evaluated on datasets.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
We changed the graphical user interface. And with the Kitware guys we clarified an issue related events handle in the wizard. &lt;br /&gt;
During the coming weeks we will finish all remaining connections between the logic and the graphical user interface. Then we will start valuating the module on datasets.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 97%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Delivery Mechanism==&lt;br /&gt;
&lt;br /&gt;
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)&lt;br /&gt;
&lt;br /&gt;
#ITK Module&lt;br /&gt;
#Slicer Module&lt;br /&gt;
##Built-in&lt;br /&gt;
##Extension -- commandline&lt;br /&gt;
##Extension -- loadable [X]&lt;br /&gt;
#Other (Please specify)&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
* Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A and Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Medical and Biological Engineering and Computing, 46: 1097-1112, Nov 2008.&lt;br /&gt;
* D. Hähn. Integration of the vascular modeling toolkit in 3d slicer. SPL, 04 2009. Available online at http://www.spl.harvard.edu/publications/item/view/1728.&lt;br /&gt;
* D. Hähn. Centerline Extraction of Coronary Arteries in 3D Slicer using VMTK based Tools. Master's Thesis. Department of Medical Informatics, University of Heidelberg, Germany. Feb 2010.&lt;br /&gt;
* Piccinelli M, Veneziani A, Steinman DA, Remuzzi A, Antiga L (2009) A framework for geometric analysis of vascular structures: applications to cerebral aneurysms. IEEE Trans Med Imaging. In press.&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=69704</id>
		<title>2011 Summer Project Week Stenosis Detector</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=69704"/>
		<updated>2011-06-30T19:52:39Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: /* Key Investigators */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2011.png|[[2011_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:VesselnessFilter.png| Vesselness filter&lt;br /&gt;
Image:Level Set Segmentation.png| Level set segmentation&lt;br /&gt;
Image:Optimization.png| Optimization of the Level set segmentation&lt;br /&gt;
Image:CenterlineComputation.png| Centerline computation&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* University of Heidelberg, Germany: Suares Tamekue Tatuebu&lt;br /&gt;
* UPenn: Daniel Haehn&lt;br /&gt;
* [http://www.orobix.com Orobix], Italy: Luca Antiga&lt;br /&gt;
* SPL: Ron Kikinis&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation using a wizard-based interface.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach for developing the stenosis detector is: first vessel enhancement, level-set segmentation, network extraction and then quantification and visualization of stenosis.&lt;br /&gt;
&lt;br /&gt;
The tool will be evaluated on datasets.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
We changed the graphical user interface. And with the Kitware guys we clarified an issue related events handle in the wizard. &lt;br /&gt;
During the coming weeks we will finish all remaining connections the logic and the graphical user interface. Then we will start valuating the module on datasets.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 97%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Delivery Mechanism==&lt;br /&gt;
&lt;br /&gt;
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)&lt;br /&gt;
&lt;br /&gt;
#ITK Module&lt;br /&gt;
#Slicer Module&lt;br /&gt;
##Built-in&lt;br /&gt;
##Extension -- commandline&lt;br /&gt;
##Extension -- loadable [X]&lt;br /&gt;
#Other (Please specify)&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
* Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A and Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Medical and Biological Engineering and Computing, 46: 1097-1112, Nov 2008.&lt;br /&gt;
* D. Hähn. Integration of the vascular modeling toolkit in 3d slicer. SPL, 04 2009. Available online at http://www.spl.harvard.edu/publications/item/view/1728.&lt;br /&gt;
* D. Hähn. Centerline Extraction of Coronary Arteries in 3D Slicer using VMTK based Tools. Master's Thesis. Department of Medical Informatics, University of Heidelberg, Germany. Feb 2010.&lt;br /&gt;
* Piccinelli M, Veneziani A, Steinman DA, Remuzzi A, Antiga L (2009) A framework for geometric analysis of vascular structures: applications to cerebral aneurysms. IEEE Trans Med Imaging. In press.&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=69388</id>
		<title>2011 Summer Project Week Stenosis Detector</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=69388"/>
		<updated>2011-06-24T14:20:49Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: /* Key Investigators */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2011.png|[[2011_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:VesselnessFilter.png| Vesselness filter&lt;br /&gt;
Image:Level Set Segmentation.png| Level set segmentation&lt;br /&gt;
Image:Optimization.png| Optimization of the Level set segmentation&lt;br /&gt;
Image:CenterlineComputation.png| Centerline computation&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* University of Heidelberg, Germany: Suares Tamekue&lt;br /&gt;
* UPenn: Daniel Haehn&lt;br /&gt;
* [http://www.orobix.com Orobix], Italy: Luca Antiga&lt;br /&gt;
* SPL: Ron Kikinis&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation using a wizard-based interface.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach for developing the stenosis detector is: first vessel enhancement, level-set segmentation, network extraction and then quantification and visualization of stenosis.&lt;br /&gt;
&lt;br /&gt;
The tool will be evaluated on datasets.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
We changed the graphical user interface. And with the Kitware guys we clarified an issue related events handle in the wizard. &lt;br /&gt;
During the coming weeks we will finish all remaining connections of the logic with the graphical user interface and then we will start valuating the module on datasets.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 97%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Delivery Mechanism==&lt;br /&gt;
&lt;br /&gt;
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)&lt;br /&gt;
&lt;br /&gt;
#ITK Module&lt;br /&gt;
#Slicer Module&lt;br /&gt;
##Built-in&lt;br /&gt;
##Extension -- commandline&lt;br /&gt;
##Extension -- loadable [X]&lt;br /&gt;
#Other (Please specify)&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
* Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A and Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Medical and Biological Engineering and Computing, 46: 1097-1112, Nov 2008.&lt;br /&gt;
* D. Hähn. Integration of the vascular modeling toolkit in 3d slicer. SPL, 04 2009. Available online at http://www.spl.harvard.edu/publications/item/view/1728.&lt;br /&gt;
* D. Hähn. Centerline Extraction of Coronary Arteries in 3D Slicer using VMTK based Tools. Master's Thesis. Department of Medical Informatics, University of Heidelberg, Germany. Feb 2010.&lt;br /&gt;
* Piccinelli M, Veneziani A, Steinman DA, Remuzzi A, Antiga L (2009) A framework for geometric analysis of vascular structures: applications to cerebral aneurysms. IEEE Trans Med Imaging. In press.&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=68832</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=68832"/>
		<updated>2011-06-21T13:47:19Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: /* Time line table */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface so that we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameters are less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK modules avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and visualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;7&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which improves the user-friendliness by reducing the number of parameters usually required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write and complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;07/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=68831</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=68831"/>
		<updated>2011-06-21T13:46:26Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: /* Time line table */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface so that we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameters are less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK modules avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and visualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;7&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which improves the user-friendliness by reducing the number of parameters usually required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write and complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;07/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68658</id>
		<title>2011 Summer Project Week Stenosis Detector</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68658"/>
		<updated>2011-06-20T17:05:39Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2011.png|[[2011_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:VesselnessFilter.png| Vesselness filter&lt;br /&gt;
Image:Level Set Segmentation.png| Level set segmentation&lt;br /&gt;
Image:Optimization.png| Optimization of the Level set segmentation&lt;br /&gt;
Image:CenterlineComputation.png| Centerline computation&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* University of Heidelberg, Germany: Suares Tamekue&lt;br /&gt;
* UPenn: Daniel Haehn&lt;br /&gt;
* [http://www.orobix.com Orobix], Italy: Luca Antiga&lt;br /&gt;
* SPL: Ron Kikinis&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation using a wizard-based interface.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach for developing the stenosis detector is: first vessel enhancement, level-set segmentation, network extraction and then quantification and visualization of stenosis.&lt;br /&gt;
&lt;br /&gt;
The tool will be evaluated on datasets.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 97%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Delivery Mechanism==&lt;br /&gt;
&lt;br /&gt;
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)&lt;br /&gt;
&lt;br /&gt;
#ITK Module&lt;br /&gt;
#Slicer Module&lt;br /&gt;
##Built-in&lt;br /&gt;
##Extension -- commandline&lt;br /&gt;
##Extension -- loadable [X]&lt;br /&gt;
#Other (Please specify)&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
* Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A and Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Medical and Biological Engineering and Computing, 46: 1097-1112, Nov 2008.&lt;br /&gt;
* D. Hähn. Integration of the vascular modeling toolkit in 3d slicer. SPL, 04 2009. Available online at http://www.spl.harvard.edu/publications/item/view/1728.&lt;br /&gt;
* D. Hähn. Centerline Extraction of Coronary Arteries in 3D Slicer using VMTK based Tools. Master's Thesis. Department of Medical Informatics, University of Heidelberg, Germany. Feb 2010.&lt;br /&gt;
* Piccinelli M, Veneziani A, Steinman DA, Remuzzi A, Antiga L (2009) A framework for geometric analysis of vascular structures: applications to cerebral aneurysms. IEEE Trans Med Imaging. In press.&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68657</id>
		<title>2011 Summer Project Week Stenosis Detector</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68657"/>
		<updated>2011-06-20T17:05:04Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2011.png|[[2011_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:VesselnessFilter.png| Vesselness filter&lt;br /&gt;
Image:Level Set Segmentation.png| Level set segmentation&lt;br /&gt;
Image:Optimization.png| Optimization of the Level set segmentation&lt;br /&gt;
CenterlineComputation.png| Centerline computation&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* University of Heidelberg, Germany: Suares Tamekue&lt;br /&gt;
* UPenn: Daniel Haehn&lt;br /&gt;
* [http://www.orobix.com Orobix], Italy: Luca Antiga&lt;br /&gt;
* SPL: Ron Kikinis&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation using a wizard-based interface.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach for developing the stenosis detector is: first vessel enhancement, level-set segmentation, network extraction and then quantification and visualization of stenosis.&lt;br /&gt;
&lt;br /&gt;
The tool will be evaluated on datasets.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 97%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Delivery Mechanism==&lt;br /&gt;
&lt;br /&gt;
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)&lt;br /&gt;
&lt;br /&gt;
#ITK Module&lt;br /&gt;
#Slicer Module&lt;br /&gt;
##Built-in&lt;br /&gt;
##Extension -- commandline&lt;br /&gt;
##Extension -- loadable [X]&lt;br /&gt;
#Other (Please specify)&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
* Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A and Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Medical and Biological Engineering and Computing, 46: 1097-1112, Nov 2008.&lt;br /&gt;
* D. Hähn. Integration of the vascular modeling toolkit in 3d slicer. SPL, 04 2009. Available online at http://www.spl.harvard.edu/publications/item/view/1728.&lt;br /&gt;
* D. Hähn. Centerline Extraction of Coronary Arteries in 3D Slicer using VMTK based Tools. Master's Thesis. Department of Medical Informatics, University of Heidelberg, Germany. Feb 2010.&lt;br /&gt;
* Piccinelli M, Veneziani A, Steinman DA, Remuzzi A, Antiga L (2009) A framework for geometric analysis of vascular structures: applications to cerebral aneurysms. IEEE Trans Med Imaging. In press.&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:CenterlineComputation.png&amp;diff=68654</id>
		<title>File:CenterlineComputation.png</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:CenterlineComputation.png&amp;diff=68654"/>
		<updated>2011-06-20T17:00:59Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: Centerline computation&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Centerline computation&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:Optimization.png&amp;diff=68652</id>
		<title>File:Optimization.png</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:Optimization.png&amp;diff=68652"/>
		<updated>2011-06-20T17:00:27Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: Optimization of the level set segmentation&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Optimization of the level set segmentation&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:Level_Set_Segmentation.png&amp;diff=68649</id>
		<title>File:Level Set Segmentation.png</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:Level_Set_Segmentation.png&amp;diff=68649"/>
		<updated>2011-06-20T16:59:48Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: Level set segmentation&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Level set segmentation&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68644</id>
		<title>2011 Summer Project Week Stenosis Detector</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68644"/>
		<updated>2011-06-20T16:58:17Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-MIT2011.png|[[2011_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
Image:VesselnessFilter.png| Vesselness filter&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* University of Heidelberg, Germany: Suares Tamekue&lt;br /&gt;
* UPenn: Daniel Haehn&lt;br /&gt;
* [http://www.orobix.com Orobix], Italy: Luca Antiga&lt;br /&gt;
* SPL: Ron Kikinis&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation using a wizard-based interface.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach for developing the stenosis detector is: first vessel enhancement, level-set segmentation, network extraction and then quantification and visualization of stenosis.&lt;br /&gt;
&lt;br /&gt;
The tool will be evaluated on datasets.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 97%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Delivery Mechanism==&lt;br /&gt;
&lt;br /&gt;
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)&lt;br /&gt;
&lt;br /&gt;
#ITK Module&lt;br /&gt;
#Slicer Module&lt;br /&gt;
##Built-in&lt;br /&gt;
##Extension -- commandline&lt;br /&gt;
##Extension -- loadable [X]&lt;br /&gt;
#Other (Please specify)&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
* Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A and Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Medical and Biological Engineering and Computing, 46: 1097-1112, Nov 2008.&lt;br /&gt;
* D. Hähn. Integration of the vascular modeling toolkit in 3d slicer. SPL, 04 2009. Available online at http://www.spl.harvard.edu/publications/item/view/1728.&lt;br /&gt;
* D. Hähn. Centerline Extraction of Coronary Arteries in 3D Slicer using VMTK based Tools. Master's Thesis. Department of Medical Informatics, University of Heidelberg, Germany. Feb 2010.&lt;br /&gt;
* Piccinelli M, Veneziani A, Steinman DA, Remuzzi A, Antiga L (2009) A framework for geometric analysis of vascular structures: applications to cerebral aneurysms. IEEE Trans Med Imaging. In press.&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=File:VesselnessFilter.png&amp;diff=68589</id>
		<title>File:VesselnessFilter.png</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=File:VesselnessFilter.png&amp;diff=68589"/>
		<updated>2011-06-20T15:58:15Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: Vesselness filter&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Vesselness filter&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week&amp;diff=68568</id>
		<title>2011 Summer Project Week</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week&amp;diff=68568"/>
		<updated>2011-06-20T15:07:30Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: /* Projects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;  Back to [[Events]]&lt;br /&gt;
&lt;br /&gt;
[[image:PW-MIT2011.png|right|200px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*'''Dates:''' June 20-24, 2011&lt;br /&gt;
*'''Location:''' MIT&lt;br /&gt;
&lt;br /&gt;
==Preliminary Agenda==&lt;br /&gt;
==Agenda==&lt;br /&gt;
&lt;br /&gt;
{|border=&amp;quot;1&amp;quot;&lt;br /&gt;
|-style=&amp;quot;background:#b0d5e6;color:#02186f&amp;quot; &lt;br /&gt;
!style=&amp;quot;width:10%&amp;quot; |Time&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Monday, June 20&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Tuesday, June 21&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Wednesday, June 22&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Thursday, June 23&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Friday, June 24&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#dbdbdb&amp;quot;|'''Project Presentations'''&lt;br /&gt;
|bgcolor=&amp;quot;#6494ec&amp;quot;|'''NA-MIC Update Day'''&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#88aaae&amp;quot;|'''IGT Day'''&lt;br /&gt;
|bgcolor=&amp;quot;#faedb6&amp;quot;|'''Reporting Day'''&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''8:30am'''&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''9am-12pm'''&lt;br /&gt;
|&lt;br /&gt;
|'''9am-11am:''' [[2011 Project Week Breakout Session: Slicer4|Slicer 4 Core Modules Usability Review]]''' [[MIT_Project_Week_Rooms#Star|Star Room]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''11-12pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt; [[2011 Summer Project Week Breakout Session Slicer4 Annotation|Slicer4 Annotations]] (Nicole Aucoin)&amp;lt;br&amp;gt;&lt;br /&gt;
[[MIT_Project_Week_Rooms#Star|Star Room]]&lt;br /&gt;
|'''9am-12pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [[2011 Project Week Breakout Session: ITK|ITK]] (Luis Ibanez)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Kiva_32-G449|Kiva Room]]&lt;br /&gt;
|'''9am-4pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [[2011 Summer Project Week Breakout Session:OpenIGTLink|OpenIGTLink]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Kiva_32-G449|Kiva Room]]&lt;br /&gt;
|'''10am-12pm:''' [[#Projects|Project Progress Updates]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''12pm-1pm'''&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch boxes; Adjourn by 1:30pm&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''1pm-5:30pm'''&lt;br /&gt;
|'''1-1:05pm: &amp;lt;font color=&amp;quot;#503020&amp;quot;&amp;gt;Ron Kikinis: Welcome&amp;lt;/font&amp;gt;'''&lt;br /&gt;
[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''1:05-3:30pm:''' [[#Projects|Project Introductions]] (all Project Leads)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3:30-5:00pm: NA-MIC Kit Update''' Slicer4 Developers Guided Tour (Pieper) ([[media:2011 Summer-Slicer4.ppt|Slides]]), Slicer4 Extension Writing Tutorial (Finet, Fillion-Robin)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
|'''1-3pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [http://wiki.slicer.org/slicerWiki/index.php/Slicer4:MultiVolumeContainer#Summer_2011_Project_Week_Breakout_Session Slicer4 MultiVolume Containers] (Nicole Aucoin)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3-4pm:''' [[Summer_2011_Tutorial_Contest|Tutorial Contest Presentations]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''4-5pm:''' [[2011 Summer Project Week Breakout Session VTKCharts|VTK Charts]] (Marcus Hanwell)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
|'''12:45-1pm:''' [[Events:TutorialContestJune2011|Tutorial Contest Winner Announcement]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3-4pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt;[[2011_Summer_Project_Week_Breakout_Session_EMRegistration|Inter-subject Registration for EM segmenter]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Kiva_32-G449|Kiva Room]]&lt;br /&gt;
|'''1-4pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [[2011 Summer Project Week Breakout Session:OpenIGTLink|OpenIGTLink]] &lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Kiva_32-G449|Kiva Room]]&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''5:30pm'''&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
==Projects==&lt;br /&gt;
&lt;br /&gt;
* Please make a link for your project to a new page based on the [[2011_Summer_Project_Week_Template| 2011 Summer Project Page Template]]&lt;br /&gt;
&lt;br /&gt;
'''Neurosurgery, Brain and Spine, Traumatic Brain Injury'''&lt;br /&gt;
&lt;br /&gt;
#[[2011_Summer_Project_Week_Segmentation_TBI|Segmentation of Longitudinal TBI data]] (Bo Wang, Jack Van Horn, Andrei Irimia, Marcel Prastawa, Guido Gerig)&lt;br /&gt;
#[[2011_Summer_Project_Week_White_Matter_Laterality|White Matter Laterality in Python/Slicer4]] (Lauren O'Donnell)&lt;br /&gt;
#[[Multimodality Image Registration for TBI]] (Yifei Lou, Danielle Pace, Jack Van Horn?, Marcel Prastawa?)&lt;br /&gt;
#[[2011_Summer_Project_Week_Intraoperative_Brain_Shift_Monitor|Intraoperative Brain Shift Monitor]] (Jason White, Alex Golby, Steve Pieper)&lt;br /&gt;
#[[2011_Summer_Project_Week_GBM_Masks|Obtaining and Evaluation of Glioblastoma Multiforme (GBM) Segmentation Masks]] (Jan Egger,Tina Kapur, Andriy Fedorov, Rivka Colen, Ron Kikinis, Alex Golby, Christopher Nimsky)&lt;br /&gt;
#[[2011_Summer_Project_Week_NerveSeg|Segmentation of Nerve and Nerve Ganglia in the Spine]] (Adrian Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud Schmidt, Polina Golland)&lt;br /&gt;
#[[2011_Summer_Project_Week_Spine_Segmentation_And_Osteoporosis_Screening_CT|Spine Segmentation &amp;amp; Osteoporosis Screening In CT Imaging Studies]] (Anthony Blumfield)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Radiation Therapy'''&lt;br /&gt;
#[[2011_Summer Project Week_Non-rigid_inter-patient_registration_of_bone_masks_derived_from_CT_for_Head_and_Neck_Cancer_Radiation_Therapy|Non-rigid, inter-patient registration of bone masks derived from CT for Head and Neck Cancer Radiation Therapy]] (Ivan Kolesov, Yi Gao, Gregory Sharp, and Allen Tannenbaum)&lt;br /&gt;
#[[2011_Summer_Project_Week_Contouring_Gyne_Structures|Contouring of Anatomy Structures like Tumor, Bladder, Rectum and Sigmoid for Gynecological Brachytherapy]] (Tina Kapur, Akila Viswanathan, Jan Egger)&lt;br /&gt;
#[[2011_Summer_Project_Week_Slicer_DICOM_RT_Brachytherapy|Visualization of DICOM RT Planning Contours and Dose Distributions for Prostate and Gynecologic Brachytherapy in Slicer]] (Firdaus Janoos, Jan Egger, Greg Sharp, Andriy Fedorov, Tina Kapur)&lt;br /&gt;
#[[2011_Summer_Project__Week_DVH|Dose volume histograms in Slicer]] (Greg Sharp, Nadya Shusharina, Steve Pieper, Csaba Pinter, Tina Kapur)&lt;br /&gt;
#[[2011_Summer_Project__Week_DICOM_RT|Synthetic images, vector fields, RT structures and RT doses in Slicer and ITK]]. (Nadya Shusharina, Greg Sharp, Luis Ibanez, Steve Pieper)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Huntington's Disease'''&lt;br /&gt;
#[[2011_Summer_Project_Week_normal_consistency_particles|Normal consistency in particle correspondence computation using great circles in principal spheres - Huntington's Disease]], (Beatriz Paniagua, Martin Styner, Sungkyu Jung, Mark Scully)&lt;br /&gt;
#[[2011_Summer_Project__Week_Shape_Analysis_UNC |SPHARM &amp;amp; particles shape analysis - Huntington's Disease]] (Lucile Bompard, Clement Vachet, Beatriz Paniagua, Martin Styner&lt;br /&gt;
#[[2011_Summer_Project_Week_long_shape_regression|Longitudinal Shape Regression - Huntington's Disease]] (James Fishbaugh, Guido Gerig)&lt;br /&gt;
#[[2011_Summer_Project_Week_DTIPrep|DTIPrep - &amp;quot;Study-specific Protocol&amp;quot; based automatic DWI/DTI quality control and preparation]] - Huntington's Disease (Mashid Farzinfar, Clement Vachet, Joy Matsui, Martin Styner)&lt;br /&gt;
#[[2011_Summer_Project_Week_DTI_PairWise_Registration|DTI pair-wise registration module]] - Huntington's Disease (Clement Vachet, Joy Matsui, Mark Scully, Martin Styner)&lt;br /&gt;
#[[2011_Summer_Project_Week_DTI analysis_for_Huntington's_disease | DTI analysis for Huntington's disease]] (Gopal Veni, Ross Whitaker)&lt;br /&gt;
&lt;br /&gt;
'''Atrial Fibrillation'''&lt;br /&gt;
#[[2011_Summer_Project_Week_RSS_for_AFib_Ablation|Robust Statistical Segmentation (RSS) for the Atrial Fibrillation Ablation Therapy]] (Yi Gao, Kedar Patwardhan, Wassim Haddad, and Allen Tannenbaum, Rob MacLeod, Josh Blauer, and Josh Cates)&lt;br /&gt;
#[[2011_Summer_Project_Week_Watersheds|Interactive Watersheds Segmentation Module for Slicer  for Atrial Fibrillation and HN Cancer]] (Josh Cates, Ross Whitaker, Steve Pieper, Jim Miller, Nadya)&lt;br /&gt;
&lt;br /&gt;
'''Vessels'''&lt;br /&gt;
#[[2011_Summer_Project_Week_SlicerVmtk4|The Vascular Modeling Toolkit in 3D Slicer 4]] (Daniel Haehn, Luca Antiga, Steve Pieper, Kilian Pohl, Ron Kikinis)	&lt;br /&gt;
#[[2011_Summer_Project__Week_Stenosis_Detector|Stenosis Detector in 3D Slicer 4]] (Suares Tamekue, Daniel Haehn, Luca Antiga, Ron Kikinis)&lt;br /&gt;
&lt;br /&gt;
'''Device Integration with Slicer and General Image Guided Therapy'''&lt;br /&gt;
#[[2011_Summer_Project__Week_Wireless_Joystick|Wireless joystick controlling medical devices and software (e.g. Slicer4) in the operating room]] (Szymon Kostrzewski)&lt;br /&gt;
#[[2011_Summer_Project__Week_Live_Tracked_Ultrasound|Live Tracked Ultrasound with Slicer4 (Tamas Heffter)]]&lt;br /&gt;
#[http://wiki.na-mic.org/Wiki/index.php/Survey_stealthlink_openigtlink Surveying research teams interested in Open IGT Link support of Stealth Station (Nobuhiko Hata, Ron Kikinis)]&lt;br /&gt;
#[[2011_Summer_Project_Week_Needle_Detection_to_Control_Scanner_for_Prostate_Biopsy | Needle Detection to Control Scanner for Prostate Biopsy ]] (Atsushi Yamada, Loïc Cadour, Junichi Tokuda and Nobuhiko Hata)&lt;br /&gt;
#[[2011_Summer_Project_Week_4DUltrasound_HybridProbe_OsteoPlan|4D Ultrasound / Hybrid Probe / OsteoPlan]] (Laurent Chauvin, Noby Hata)&lt;br /&gt;
#[[2011_Summer_Project_Week_AMIGO|AMIGO]] (Mallika Winsor, Vivian He, Dan Kacher, Tina Kapur)&lt;br /&gt;
&lt;br /&gt;
'''General Segmentation'''&lt;br /&gt;
#[[2011_Summer_Project_Week_Integrate_BRAINSCut_into_Slicer3]](Regina Kim, ... )&lt;br /&gt;
#[[2011_Summer_Project_Week_EMSegmentation_in_3D_Slicer4|EM Segmentation in 3D Slicer 4]] (Daniel Haehn, Dominique Belhachemi, Kilian Pohl)&lt;br /&gt;
#[[2011_Summer_Project_Week_Customizing_EMSegmenter_pipelines_for_brain_lesions | Customizing EMSegmenter pipelines for brain lesions]] (Dominique Belhachemi, Alexander Zaitsev, Kilian Pohl)&lt;br /&gt;
#[[2011_Summer_Project_Week_Plastimatch_for_EMSegmenter | Integrating Plastimatch into the EMSegmenter]] (Dominique Belhachemi, Kilian Pohl, Greg Sharp, Daniel Haehn)&lt;br /&gt;
#[[2011_Summer_Project_Week_Slicer_Extension_for_GLISTR | Slicer extension for GLiome Image SegmenTation and Registration (GLISTR)]] (Andreas Schuh, Daniel Haehn, Kilian Pohl)&lt;br /&gt;
#[[2011_Summer_Project_Week_DTI_Volumetric_Segmentation_for_Group_studies | DTI Volumetric Segmentation for Group studies]] (Gopal Veni, Ross Whitaker)&lt;br /&gt;
#[[2011_Summer_Project_Week_Segementation_Reconstruction_Pericardial_Sac]] (Mohasen)&lt;br /&gt;
&lt;br /&gt;
'''General Registration'''&lt;br /&gt;
#[[2011_Summer_Project_Week__BRAINSFit_new_features_integration|Integrate new features into BRAINSFit]] (Andrey Fedorov, Hans Johnson, Mark Scully)&lt;br /&gt;
#[[2011_Summer_Project_Week__LANDWARP_integration|Integration of LANDWARP into interactive registration module]] (Andrey Fedorov, Greg Sharp, Nadya Shusharina)&lt;br /&gt;
#[[2011_Summer_Project_Week_Registration_of_mouse_brains|Registration of mouse brains]] (Francois Budin)&lt;br /&gt;
#[[NonRigidRegistrationThatAccommodatesResection|Demons Based Non-Rigid Registration that Accommodates Resection in 3D Slicer]] (Petter Risholm, Sandy Wells)&lt;br /&gt;
&lt;br /&gt;
'''General Atlas'''&lt;br /&gt;
#[[2011_Summer_Project_Week_DWI_Atlas | Slicer module for building an average population DWI Atlas]]  (Ryan Eckbo, Sylvain Bouix)&lt;br /&gt;
#[[2011_Summer_Project_Week_Image_Manifold_Learning_with_Spectral_Embedding_and_Laplacian_Eigenmaps|Image Manifold Learning with Spectral Embedding and Laplacian Eigenmaps]] (Ramesh Sridharan, Polina Golland)&lt;br /&gt;
&lt;br /&gt;
'''General Diffusion Tractography'''&lt;br /&gt;
#[[2011_Summer_Project_Week_WMGeometry_Slicer4 | White matter geometry measures in Slicer 4]] (Peter Savadjiev)&lt;br /&gt;
#[[2011_Summer_Project_Week_re-parameterize_fiber|Re-parametrize fiber tracts for fiber statistics analysis]] (Yundi Shi, Benjamin Yvernault, Anuja Sharma, Martin Styner)&lt;br /&gt;
#[[2011_Summer_Project_Week_ODF_though_Fiber_Counting | ODF computation through fiber counting]] (Yinpeng Li, Ipek Oguz, Martin Styner)&lt;br /&gt;
#[[2011_Summer_Project_Week_Nifti_Support_for_Diffusion_Tensor_Images|Nifti Support for Diffusion Tensor Images]] (Demian)&lt;br /&gt;
#[[2011_Summer_Project_Week_Finishing_details_on_the_workflows_DICOM_full_brain_tractography_peritumoral|Finishing details on the workflows: DICOM-&amp;gt;Full brain tractography / peritumoral]] (Demian)&lt;br /&gt;
#[[Summer_project_week_2011_Finsler_Streamlines|Adding streamlined tractography to the Finsler front propagation tractography toolkit]] (Antonio Tristán-Vega)&lt;br /&gt;
#[[2011_Summer_Project_Week_Slicer4_Tractography_Interaction_and_Display|Tractography Bundle/Cluster Interaction and Display in Slicer4]] (Lauren O'Donnell, Isaiah, Demian)&lt;br /&gt;
&lt;br /&gt;
'''Infrastructure'''&lt;br /&gt;
#[[2011_Summer_Project_Week_Annotation_Module|Annotation Module in Slicer4]] (Nicole Aucoin, Daniel Haehn)&lt;br /&gt;
#[[2011_Summer_Project_Week_RECIST|RECIST Slicer4 module]] (Nicole Aucoin)&lt;br /&gt;
#[[2011_Summer_Project_Week_Dicom2Nrrd|DicomToNrrdConverter refactoring]] ( Xiaodong Tao, Mark Scully)&lt;br /&gt;
#[[Summer_project_week_2011_Workflows_SOA|Workflows and Service Oriented Architecture Modules for Slicer4 as Extensions]] (Alexander Zaitsev, Wendy Plesniak, Ron Kikinis)&lt;br /&gt;
#[[2011_Summer_Project__Week_DICOM_Networking|DICOM Networking interface for Slicer4]] (Steve Pieper, Nicole Aucoin, Noby Hata)&lt;br /&gt;
#[[2011_Summer_Project_Week_Automated_GUI_Testing| Automated GUI Testing (Sonia Pujol, Steve Pieper, Dave Partyka, Jean-Christophe Fillion-Robin, Xiaodong Tao)]]&lt;br /&gt;
#[[2011_Summer_Project_Week_FetchMI:_Slicer_integration_with_XNAT |FetchMI: Slicer integration with XNAT 1.5]] (Misha Milchenko, Wendy Plesniak)&lt;br /&gt;
#[[2011_Summer_Project_Week_Internationalization_of_Slicer|Internationalization of Slicer]] (Luping Fang, Steve Pieper, Daniel Haehn, Suares Tamekue, Jean-Christophe Fillion-Robin, Julien Finet, Yiming Ge, Ping Cao)&lt;br /&gt;
&lt;br /&gt;
==Background==&lt;br /&gt;
&lt;br /&gt;
We are pleased to announce the 13th PROJECT WEEK of hands-on research and development activity for applications in Image-Guided Therapy, Neuroscience, and several additional areas of biomedical research that enable personalized medicine. Participants will engage in open source programming using the [[NA-MIC-Kit|NA-MIC Kit]], algorithm design, medical imaging sequence development, tracking experiments, and clinical application. The main goal of this event is to move forward the translational research deliverables of the sponsoring centers and their collaborators. Active and potential collaborators are encouraged and welcome to attend this event. This event will be set up to maximize informal interaction between participants.  If you would like to learn more about this event, please [http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-project-week click here to join our mailing list].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Active preparation begins on Thursday, April 28th at 3pm ET, with a kick-off teleconference.  Invitations to this call will be sent to members of the sponsoring communities, their collaborators, past attendees of the event, as well as any parties who have expressed an interest in working with these centers. The main goal of the kick-off call is to get an idea of which groups/projects will be active at the upcoming event, and to ensure that there is sufficient coverage for all. Subsequent teleconferences will allow for more focused discussions on individual projects and allow the hosts to finalize the project teams, consolidate any common components, and identify topics that should be discussed in breakout sessions. In the final days leading upto the meeting, all project teams will be asked to fill in a template page on this wiki that describes the objectives and plan of their projects.  &lt;br /&gt;
&lt;br /&gt;
The event itself will start off with a short presentation by each project team, driven using their previously created description, and will help all participants get acquainted with others who are doing similar work. In the rest of the week, about half the time will be spent in breakout discussions on topics of common interest of subsets of the attendees, and the other half will be spent in project teams, doing hands-on project work.  The hands-on activities will be done in 40-50 small teams of size 2-4, each with a mix of multi-disciplinary expertise.  To facilitate this work, a large room at MIT will be setup with several tables, with internet and power access, and each computer software development based team will gather on a table with their individual laptops, connect to the internet to download their software and data, and be able to work on their projects.  Teams working on projects that require the use of medical devices will proceed to Brigham and Women's Hospital and carry out their experiments there. On the last day of the event, a closing presentation session will be held in which each project team will present a summary of what they accomplished during the week.&lt;br /&gt;
&lt;br /&gt;
This event is part of the translational research efforts of [http://www.na-mic.org NA-MIC], [http://www.ncigt.org NCIGT], [http://nac.spl.harvard.edu/ NAC], [http://catalyst.harvard.edu/home.html Harvard Catalyst], and [http://www.cimit.org CIMIT].  It is an expansion of the NA-MIC Summer Project Week that has been held annually since 2005. It will be held every summer at MIT and Brigham and Womens Hospital in Boston, typically during the last full week of June, and in Salt Lake City in the winter, typically during the second week of January.  &lt;br /&gt;
&lt;br /&gt;
A summary of all past NA-MIC Project Events is available [[Project_Events#Past|here]].&lt;br /&gt;
&lt;br /&gt;
== Logistics ==&lt;br /&gt;
*'''Dates:''' June 20-24, 2011&lt;br /&gt;
*'''Location:''' MIT. [[Meeting_Locations:MIT_Grier_A_%26B|Grier Rooms A &amp;amp; B: 34-401A &amp;amp; 34-401B]].&lt;br /&gt;
*'''REGISTRATION:''' Please register [http://guest.cvent.com/d/sdqy0l/4W here].  Payment must be made by credit card.&lt;br /&gt;
*'''Registration Fee:''' $260 (covers the cost of breakfast, lunch and coffee breaks for the week). &lt;br /&gt;
*'''Hotel:''' Boston Marriott Cambridge, Two Cambridge Center, 50 Broadway, Cambridge, MA 02142.  Group rate is $199/night plus tax.  Book [http://www.marriott.com/hotels/travel/boscb?groupCode=jrbjrba&amp;amp;app=resvlink&amp;amp;fromDate=6/19/11&amp;amp;toDate=6/24/11 here] or call 1-617-494-6600 and mention that you are booking in the MIT Room Block.  '''All reservations must be made by May 29, 2011 to receive the discounted rate.'''&lt;br /&gt;
&lt;br /&gt;
== Preparation ==&lt;br /&gt;
&lt;br /&gt;
# Please make sure that you are on the http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-project-week mailing list&lt;br /&gt;
# The NA-MIC engineering team will be discussing infrastructure projects in a kickoff TCON on April 28, 3pm ET.  In the weeks following, new and old participants from the above mailing list will be invited to join to discuss their projects, so please make sure you are on it!&lt;br /&gt;
# By 3pm ET on Thursday May 12, all participants to add a one line title of their project to #Projects&lt;br /&gt;
#By 3pm ET on Thursday June 9, all project leads to complete [[Project_Week/Template|Complete a templated wiki page for your project]]. Please do not edit the template page itself, but create a new page for your project and cut-and-paste the text from this template page.  If you have questions, please send an email to tkapur at bwh.harvard.edu.&lt;br /&gt;
# By 3pm on June 16: Create a directory for each project on the [[Engineering:SandBox|NAMIC Sandbox]] (Zack)&lt;br /&gt;
## Commit on each sandbox directory the code examples/snippets that represent our first guesses of appropriate methods. (Luis and Steve will help with this, as needed)&lt;br /&gt;
## Gather test images in any of the Data sharing resources we have (e.g. XNAT/MIDAS). These ones don't have to be many. At least three different cases, so we can get an idea of the modality-specific characteristics of these images. Put the IDs of these data sets on the wiki page. (the participants must do this.)&lt;br /&gt;
## Setup nightly tests on a separate Dashboard, where we will run the methods that we are experimenting with. The test should post result images and computation time. (Zack)&lt;br /&gt;
# Please note that by the time we get to the project event, we should be trying to close off a project milestone rather than starting to work on one...&lt;br /&gt;
# People doing Slicer related projects should come to project week with slicer built on your laptop.&lt;br /&gt;
## Projects to develop extension modules should work with the [http://viewvc.slicer.org/viewcvs.cgi/branches/Slicer-3-6/#dirlist Slicer-3-6 branch] (new code should not be checked into the branch).&lt;br /&gt;
## Projects to modify core behavior of slicer should be done on the [http://viewvc.slicer.org/viewcvs.cgi/trunk/ trunk].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Registrants==&lt;br /&gt;
&lt;br /&gt;
Do not add your name to this list- it is maintained by the organizers based on your paid registration (see Logistics for link)&lt;br /&gt;
#	Peter	Anderson	,	retired&lt;br /&gt;
#	Nicole	Aucoin	,	Brigham and Women's Hospital&lt;br /&gt;
#	Dominique	Belhachemi	,	University of Pennsylvania&lt;br /&gt;
#	Anthony	Blumfiled	,	Radnostics&lt;br /&gt;
#	Lucile	Bompard	,	UNC NIRAL&lt;br /&gt;
#	Sylvain	Bouix	,	Brigham and Women's Hospital&lt;br /&gt;
#	Francois	Budin	,	UNC NIRAL&lt;br /&gt;
#	Steve	Callahan	,	University of Utah&lt;br /&gt;
#	Joshua	Cates	,	University of Utah&lt;br /&gt;
#	Micah	Chambers	,	Laboratory of NeuroImaging&lt;br /&gt;
#	Laurent	Chauvin	,	Brigham and Women's Hospital&lt;br /&gt;
# Rivka Colen, Brigham and Women's Hospital&lt;br /&gt;
# Nikos Chrisochoides, ODU&lt;br /&gt;
#Adrian Dalca, MIT&lt;br /&gt;
#	Manasi	Datar	,	University of Utah&lt;br /&gt;
#	Colin	Davey	,	&lt;br /&gt;
#	Ryan	Eckbo	,	Brigham and Women's Hospital&lt;br /&gt;
#	Jan	Egger	,	University Hospital of Marburg&lt;br /&gt;
#	Luping	Fang	,	Zhejiang University of Technology, China&lt;br /&gt;
#	mahshid	farzinfar	,	UNC&lt;br /&gt;
#	Andriy	Fedorov	,	Brigham and Women's Hospital&lt;br /&gt;
#	Jean-Christophe	Fillion-Robin	,	Kitware, Inc.&lt;br /&gt;
#	Julien	Finet	,	Kitware, Inc.&lt;br /&gt;
#	James	Fishbaugh	,	University of Utah&lt;br /&gt;
#	Yi	Gao	,	Georgia Tech&lt;br /&gt;
#	Greg	Gardner	,	University of Utah&lt;br /&gt;
#	Ronen	Globinsky	,	Yale University&lt;br /&gt;
#	Maged	Goubran	,	Robarts Research Institute&lt;br /&gt;
#	Daniel	Haehn	,	University of Pennsylvania&lt;br /&gt;
#	Mike	Halle	,	Brigham and Women's Hospital&lt;br /&gt;
#	Marcus	Hanwell	,	Kitware, Inc.&lt;br /&gt;
#	Noby	 Hata	,	Brigham and Women's Hospital&lt;br /&gt;
#	Tamas	Heffter	,	Queen's University&lt;br /&gt;
#	Nicholas	Herlambang	,	AZE, Ltd.&lt;br /&gt;
# Vivian Hu, Brigham and Women's Hospital&lt;br /&gt;
#	Luis	Ibanez	,	Kitware, Inc.&lt;br /&gt;
#	Andrei	Irimia	,	University of California, Los Angeles&lt;br /&gt;
#Firdaus Janoos, Brigham and Women's Hospital&lt;br /&gt;
#	Hans	Johnson	,	University of Iowa&lt;br /&gt;
#	Ilknur	Kabul	,	Kitware, Inc.&lt;br /&gt;
#	Tina	Kapur	,	Brigham and Women's Hospital&lt;br /&gt;
#	Peter	Karasev	,	Georgia Institute of Technology&lt;br /&gt;
#	Ron	Kikinis	,	Brigham and Women's Hospital; Harvard Medical School&lt;br /&gt;
#	Regina	Kim	,	University of Iowa&lt;br /&gt;
#	Ivan	Kolesov	,	Ga Tech&lt;br /&gt;
#	Szymon	Kostrzewski	,	Ecole Polytechnique Federale de Lausanne EPFL&lt;br /&gt;
#	Dillon	Lee	,	University of Utah&lt;br /&gt;
#	Yinpeng	Li	,	UNC-NIRAL&lt;br /&gt;
#	Yifei	Lou	,	Georgia Institute of Technology&lt;br /&gt;
#	mohsen	mahvash	,	Harvard Medical School (BWH and VA)&lt;br /&gt;
#	Katie	Mastrogiacomo	,	Brigham and Women's Hospital&lt;br /&gt;
#	Joy	Matsui	,	University of Iowa&lt;br /&gt;
#	Dominik	Meier	,	BWH&lt;br /&gt;
#	Mikhail	Milchenko	,	Washington University in St. Louis&lt;br /&gt;
#	James	Miller	,	GE Research&lt;br /&gt;
#	Zach	Mullen	,	Kitware, Inc.&lt;br /&gt;
#	Isaiah Norton	,	Brigham and Women's Hospital&lt;br /&gt;
#	Lauren O'Donnell	,	Brigham and Women's Hospital&lt;br /&gt;
#	Danielle	Pace	,	Kitware, Inc.&lt;br /&gt;
#	Beatriz	Paniagua	,	University of North Carolina at Chapel Hill&lt;br /&gt;
#	Xenophon	Papademetris	,	Yale University&lt;br /&gt;
#	Kedar	Patwardhan	,	GE Global Research&lt;br /&gt;
#	Steve	Pieper	,	Isomics, Inc.&lt;br /&gt;
#	Csaba	Pinter	,	Queen's University&lt;br /&gt;
#	Wendy	Plesniak	,	Brigham and Women's Hospital&lt;br /&gt;
#	Kilian	Pohl	,	UPenn&lt;br /&gt;
#	Marcel	Prastawa	,	University of Utah&lt;br /&gt;
#	Sonia Pujol	,	Brigham and Women's Hospital&lt;br /&gt;
#	Martin	Rajchl	,	Robarts Research Institute&lt;br /&gt;
#	Petter	Risholm	,	Brigham and Women's Hospital&lt;br /&gt;
#	Peter 	Savadjiev	,	Brigham and Women's Hospital&lt;br /&gt;
#	Andreas	Schuh	,	University of Pennsylvania&lt;br /&gt;
#	Mark	Scully	,	University of Iowa&lt;br /&gt;
#	Gregory	Sharp	,	MGH&lt;br /&gt;
#	Yundi	Shi	,	UNC-Chapel Hill&lt;br /&gt;
#	Nadya	Shusharina	,	MGH&lt;br /&gt;
#Ramesh Sridharan, MIT&lt;br /&gt;
#	Hao	Su	,	WPI&lt;br /&gt;
#	Suares	Tamekue	,	Brigham and Women's Hospital&lt;br /&gt;
#	Xiaodong	Tao	,	GE Research&lt;br /&gt;
#Junichi Tokuda, Brigham and Women's Hospital&lt;br /&gt;
#Matthew Toews, Brigham and Women's Hospital&lt;br /&gt;
#	Clement	Vachet	,	UNC Chapel Hill&lt;br /&gt;
#	Antonio	Vega	,	Brigham and Women's Hospital&lt;br /&gt;
#	Gopal	Veni	,	University of Utah&lt;br /&gt;
#	Bo	Wang	,	University of Utah&lt;br /&gt;
#	Demian	Wasserman	,	Brigham and Women's Hospital&lt;br /&gt;
#	Sandy	Wells	,	Brigham and Women's Hospital&lt;br /&gt;
#	Jason 	White	,	Brigham and Women's Hospital&lt;br /&gt;
#	Mallika Winsor	,	Brigham and Women's Hospital&lt;br /&gt;
#	Atsushi	Yamada	,	Brigham and Women's Hospital&lt;br /&gt;
#	Alexander	Yarmarkovich	,	Isomics&lt;br /&gt;
#	Alexander	Zaitsev	,	Brigham and Women's Hospital&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68397</id>
		<title>2011 Summer Project Week Stenosis Detector</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68397"/>
		<updated>2011-06-17T16:25:08Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-SLC2011.png&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* University of Heidelberg, Germany: Suares Tamekue&lt;br /&gt;
* UPenn: Daniel Haehn&lt;br /&gt;
* [http://www.orobix.com Orobix], Italy: Luca Antiga&lt;br /&gt;
* SPL: Ron Kikinis&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation using a wizard-based interface.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach for developing the stenosis detector is: first vessel enhancement, level-set segmentation, network extraction and then quantification and visualization of stenosis.&lt;br /&gt;
&lt;br /&gt;
The tool will be evaluated on datasets.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 97%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Delivery Mechanism==&lt;br /&gt;
&lt;br /&gt;
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)&lt;br /&gt;
&lt;br /&gt;
#ITK Module&lt;br /&gt;
#Slicer Module&lt;br /&gt;
##Built-in&lt;br /&gt;
##Extension -- commandline&lt;br /&gt;
##Extension -- loadable [X]&lt;br /&gt;
#Other (Please specify)&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
* Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A and Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Medical and Biological Engineering and Computing, 46: 1097-1112, Nov 2008.&lt;br /&gt;
* D. Hähn. Integration of the vascular modeling toolkit in 3d slicer. SPL, 04 2009. Available online at http://www.spl.harvard.edu/publications/item/view/1728.&lt;br /&gt;
* D. Hähn. Centerline Extraction of Coronary Arteries in 3D Slicer using VMTK based Tools. Master's Thesis. Department of Medical Informatics, University of Heidelberg, Germany. Feb 2010.&lt;br /&gt;
* Piccinelli M, Veneziani A, Steinman DA, Remuzzi A, Antiga L (2009) A framework for geometric analysis of vascular structures: applications to cerebral aneurysms. IEEE Trans Med Imaging. In press.&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68395</id>
		<title>2011 Summer Project Week Stenosis Detector</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68395"/>
		<updated>2011-06-17T16:24:11Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-SLC2011.png|[[2011_Summer_Project_Week#Projects|Projects List]]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* University of Heidelberg, Germany: Suares Tamekue&lt;br /&gt;
* UPenn: Daniel Haehn&lt;br /&gt;
* [http://www.orobix.com Orobix], Italy: Luca Antiga&lt;br /&gt;
* SPL: Ron Kikinis&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation using a wizard-based interface.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach for developing the stenosis detector is: first vessel enhancement, level-set segmentation, network extraction and then quantification and visualization of stenosis.&lt;br /&gt;
&lt;br /&gt;
The tool will be evaluated on datasets.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 97%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Delivery Mechanism==&lt;br /&gt;
&lt;br /&gt;
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)&lt;br /&gt;
&lt;br /&gt;
#ITK Module&lt;br /&gt;
#Slicer Module&lt;br /&gt;
##Built-in&lt;br /&gt;
##Extension -- commandline&lt;br /&gt;
##Extension -- loadable [X]&lt;br /&gt;
#Other (Please specify)&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
* Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A and Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Medical and Biological Engineering and Computing, 46: 1097-1112, Nov 2008.&lt;br /&gt;
* D. Hähn. Integration of the vascular modeling toolkit in 3d slicer. SPL, 04 2009. Available online at http://www.spl.harvard.edu/publications/item/view/1728.&lt;br /&gt;
* D. Hähn. Centerline Extraction of Coronary Arteries in 3D Slicer using VMTK based Tools. Master's Thesis. Department of Medical Informatics, University of Heidelberg, Germany. Feb 2010.&lt;br /&gt;
* Piccinelli M, Veneziani A, Steinman DA, Remuzzi A, Antiga L (2009) A framework for geometric analysis of vascular structures: applications to cerebral aneurysms. IEEE Trans Med Imaging. In press.&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68394</id>
		<title>2011 Summer Project Week Stenosis Detector</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68394"/>
		<updated>2011-06-17T16:19:22Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-SLC2011.png|[[2011_Winter_Project_Week#Projects|Projects List]]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* University of Heidelberg, Germany: Suares Tamekue&lt;br /&gt;
* UPenn: Daniel Haehn&lt;br /&gt;
* [http://www.orobix.com Orobix], Italy: Luca Antiga&lt;br /&gt;
* SPL: Ron Kikinis&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation using a wizard-based interface.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach for developing the stenosis detector is: first vessel enhancement, level-set segmentation, network extraction and then quantification and visualization of stenosis.&lt;br /&gt;
&lt;br /&gt;
The tool will be evaluated on datasets.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 97%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Delivery Mechanism==&lt;br /&gt;
&lt;br /&gt;
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)&lt;br /&gt;
&lt;br /&gt;
#ITK Module&lt;br /&gt;
#Slicer Module&lt;br /&gt;
##Built-in&lt;br /&gt;
##Extension -- commandline&lt;br /&gt;
##Extension -- loadable [X]&lt;br /&gt;
#Other (Please specify)&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
* Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A and Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Medical and Biological Engineering and Computing, 46: 1097-1112, Nov 2008.&lt;br /&gt;
* D. Hähn. Integration of the vascular modeling toolkit in 3d slicer. SPL, 04 2009. Available online at http://www.spl.harvard.edu/publications/item/view/1728.&lt;br /&gt;
* D. Hähn. Centerline Extraction of Coronary Arteries in 3D Slicer using VMTK based Tools. Master's Thesis. Department of Medical Informatics, University of Heidelberg, Germany. Feb 2010.&lt;br /&gt;
* Piccinelli M, Veneziani A, Steinman DA, Remuzzi A, Antiga L (2009) A framework for geometric analysis of vascular structures: applications to cerebral aneurysms. IEEE Trans Med Imaging. In press.&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68393</id>
		<title>2011 Summer Project Week Stenosis Detector</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week_Stenosis_Detector&amp;diff=68393"/>
		<updated>2011-06-17T16:18:29Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: Created page with '__NOTOC__ &amp;lt;gallery&amp;gt; Image:PW-SLC2011.png|Projects List &amp;lt;/gallery&amp;gt;  ==Key Investigators== * University of Heidelberg, Germany: Suares Tamekue…'&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;__NOTOC__&lt;br /&gt;
&amp;lt;gallery&amp;gt;&lt;br /&gt;
Image:PW-SLC2011.png|[[2011_Winter_Project_Week#Projects|Projects List]]&lt;br /&gt;
&amp;lt;/gallery&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Key Investigators==&lt;br /&gt;
* University of Heidelberg, Germany: Suares Tamekue&lt;br /&gt;
* UPenn: Daniel Haehn&lt;br /&gt;
* [http://www.orobix.com Orobix], Italy: Luca Antiga&lt;br /&gt;
* SPL: Ron Kikinis&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;margin: 20px;&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Objective&amp;lt;/h3&amp;gt;&lt;br /&gt;
We are developing a stenosis detector based on VMTK in Slicer 4. The goal is to be able to visualize stenosis after a vessel segmentation using a wizard-based interface.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 27%; float: left; padding-right: 3%;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Approach, Plan&amp;lt;/h3&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Our approach for developing the stenosis detector is: first vessel enhancement, level-set segmentation, network extraction and then quantification and visualization of stenosis.&lt;br /&gt;
&lt;br /&gt;
The tool will be evaluated on datasets.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 40%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;h3&amp;gt;Progress&amp;lt;/h3&amp;gt;&lt;br /&gt;
A prototyp of the graphical user interface has been designed and implemented.&lt;br /&gt;
&lt;br /&gt;
'''Project Week Update:'''&lt;br /&gt;
The week was very productive. We got a lot of feedback from the Kitware guys. Specially on the wizard interface which is based on the CTK library. We also had to clarify an issue concerning the area of the wizard content and the way the different wizard steps interact with each other and with the logic.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div style=&amp;quot;width: 97%; float: left;&amp;quot;&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==Delivery Mechanism==&lt;br /&gt;
&lt;br /&gt;
This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)&lt;br /&gt;
&lt;br /&gt;
#ITK Module&lt;br /&gt;
#Slicer Module&lt;br /&gt;
##Built-in&lt;br /&gt;
##Extension -- commandline&lt;br /&gt;
##Extension -- loadable [X]&lt;br /&gt;
#Other (Please specify)&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
* Antiga L, Piccinelli M, Botti L, Ene-Iordache B, Remuzzi A and Steinman DA. An image-based modeling framework for patient-specific computational hemodynamics. Medical and Biological Engineering and Computing, 46: 1097-1112, Nov 2008.&lt;br /&gt;
* D. Hähn. Integration of the vascular modeling toolkit in 3d slicer. SPL, 04 2009. Available online at http://www.spl.harvard.edu/publications/item/view/1728.&lt;br /&gt;
* D. Hähn. Centerline Extraction of Coronary Arteries in 3D Slicer using VMTK based Tools. Master's Thesis. Department of Medical Informatics, University of Heidelberg, Germany. Feb 2010.&lt;br /&gt;
* Piccinelli M, Veneziani A, Steinman DA, Remuzzi A, Antiga L (2009) A framework for geometric analysis of vascular structures: applications to cerebral aneurysms. IEEE Trans Med Imaging. In press.&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week&amp;diff=68392</id>
		<title>2011 Summer Project Week</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week&amp;diff=68392"/>
		<updated>2011-06-17T16:10:54Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: /* Projects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;  Back to [[Events]]&lt;br /&gt;
&lt;br /&gt;
[[image:PW-MIT2011.png|right|200px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*'''Dates:''' June 20-24, 2011&lt;br /&gt;
*'''Location:''' MIT&lt;br /&gt;
&lt;br /&gt;
==Preliminary Agenda==&lt;br /&gt;
==Agenda==&lt;br /&gt;
&lt;br /&gt;
{|border=&amp;quot;1&amp;quot;&lt;br /&gt;
|-style=&amp;quot;background:#b0d5e6;color:#02186f&amp;quot; &lt;br /&gt;
!style=&amp;quot;width:10%&amp;quot; |Time&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Monday, June 20&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Tuesday, June 21&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Wednesday, June 22&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Thursday, June 23&lt;br /&gt;
!style=&amp;quot;width:18%&amp;quot; |Friday, June 24&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#dbdbdb&amp;quot;|'''Project Presentations'''&lt;br /&gt;
|bgcolor=&amp;quot;#6494ec&amp;quot;|'''NA-MIC Update Day'''&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#88aaae&amp;quot;|'''IGT Day'''&lt;br /&gt;
|bgcolor=&amp;quot;#faedb6&amp;quot;|'''Reporting Day'''&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''8:30am'''&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''9am-12pm'''&lt;br /&gt;
|&lt;br /&gt;
|'''9am-11am:''' [[2011 Project Week Breakout Session: Slicer4|Slicer 4 Core Modules Usability Review]]''' [[MIT_Project_Week_Rooms#Star|Star Room]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''11-12pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt; [[2011 Summer Project Week Breakout Session Slicer4 Annotation|Slicer4 Annotations]] (Nicole Aucoin)&amp;lt;br&amp;gt;&lt;br /&gt;
[[MIT_Project_Week_Rooms#Star|Star Room]]&lt;br /&gt;
|'''9am-12pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [[2011 Project Week Breakout Session: ITK|ITK]] (Luis Ibanez)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Kiva_32-G449|Kiva Room]]&lt;br /&gt;
|'''9am-4pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [[2011 Summer Project Week Breakout Session:OpenIGTLink|OpenIGTLink]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Kiva_32-G449|Kiva Room]]&lt;br /&gt;
|'''10am-12pm:''' [[#Projects|Project Progress Updates]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''12pm-1pm'''&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch boxes; Adjourn by 1:30pm&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''1pm-5:30pm'''&lt;br /&gt;
|'''1-1:05pm: &amp;lt;font color=&amp;quot;#503020&amp;quot;&amp;gt;Ron Kikinis: Welcome&amp;lt;/font&amp;gt;'''&lt;br /&gt;
[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''1:05-3:30pm:''' [[#Projects|Project Introductions]] (all Project Leads)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3:30-5:00pm: NA-MIC Kit Update''' Slicer4 Developers Guided Tour (Pieper) ([[media:2011 Summer-Slicer4.ppt|Draft Slides]]), Slicer4 Extension Writing Tutorial (Finet, Fillion-Robin)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
|'''1-3pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [http://wiki.slicer.org/slicerWiki/index.php/Slicer4:MultiVolumeContainer#Summer_2011_Project_Week_Breakout_Session Slicer4 MultiVolume Containers] (Nicole Aucoin)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3-4pm:''' [[Summer_2011_Tutorial_Contest|Tutorial Contest Presentations]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''4-5pm:''' [[2011 Summer Project Week Breakout Session VTKCharts|VTK Charts]] (Marcus Hanwell)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
|'''12:45-1pm:''' [[Events:TutorialContestJune2011|Tutorial Contest Winner Announcement]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3-4pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt;[[2011_Summer_Project_Week_Breakout_Session_EMRegistration|Inter-subject Registration for EM segmenter]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Kiva_32-G449|Kiva Room]]&lt;br /&gt;
|'''1-4pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [[2011 Summer Project Week Breakout Session:OpenIGTLink|OpenIGTLink]] &lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Kiva_32-G449|Kiva Room]]&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''5:30pm'''&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
==Projects==&lt;br /&gt;
&lt;br /&gt;
* Please make a link for your project to a new page based on the [[2011_Summer_Project_Week_Template| 2011 Summer Project Page Template]]&lt;br /&gt;
&lt;br /&gt;
#[[2011_Summer_Project_Week_Slicer_DICOM_RT_Brachytherapy|Visualization of DICOM RT Planning Contours and Dose Distributions for Prostate and Gynecologic Brachytherapy in Slicer]](Tina Kapur, Greg Sharp, Jan Egger, Firdaus Janoos)&lt;br /&gt;
#Visualization of b-spline and vector fields (Steve, Danielle, Dominik)&lt;br /&gt;
#[[2011_Summer_Project_Week_Annotation_Module|Annotation Module in Slicer4]] (Nicole Aucoin, Daniel Haehn)&lt;br /&gt;
#[[2011_Summer_Project_Week_RECIST|RECIST Slicer4 module]] (Nicole Aucoin)&lt;br /&gt;
#[[2011_Summer_Project_Week_Dicom2Nrrd|DicomToNrrdConverter refactoring]] ( Xiaodong Tao, Mark Scully)&lt;br /&gt;
#[[2011_Summer_Project_Week_normal_consistency_particles|Normal consistency in particle correspondence computation using great circles in principal spheres - Huntington's Disease]], (Beatriz Paniagua, Martin Styner, Sungkyu Jung, Mark Scully)&lt;br /&gt;
#[[2011_Summer_Project__Week_Shape_Analysis_UNC |SPHARM &amp;amp; particles shape analysis - Huntington's Disease]] - Lucile Bompard, Clement Vachet, Beatriz Paniagua, Martin Styner&lt;br /&gt;
#Non-rigid, inter-patient registration of bone masks derived from CT for Head and Neck Cancer Radiation Therapy (Ivan Kolesov, Yi Gao, Gregory Sharp, and Allen Tannenbaum)&lt;br /&gt;
#[[2011_Summer_Project_Week_RSS_for_AFib_Ablation|Robust Statistical Segmentation (RSS) for the Atrial Fibrillation Ablation Therapy]] (Yi Gao, Kedar Patwardhan, Wassim Haddad, and Allen Tannenbaum, Rob MacLeod, Josh Blauer, and Josh Cates)&lt;br /&gt;
#[[Multimodality Image Registration for TBI]] (Yifei Lou, Danielle Pace, Jack Van Horn?, Marcel Prastawa?)&lt;br /&gt;
#[[2011_Summer_Project_Week_Segmentation_TBI|Segmentation of Longitudinal TBI data]] (Bo Wang, Jack Van Horn, Andrei Irimia, Marcel Prastawa, Guido Gerig)&lt;br /&gt;
#Longitudinal Shape Regression - Huntington's Disease (James Fishbaugh, Guido Gerig)&lt;br /&gt;
#[[2011_Summer_Project__Week_DVH|Dose volume histograms in Slicer]] (Greg Sharp, Nadya Shusharina, Steve Pieper, Csaba Pinter, Tina Kapur)&lt;br /&gt;
#[[2011_Summer_Project__Week_DICOM_RT|Synthetic images, vector fields, RT structures and RT doses in Slicer and ITK]]. (Nadya Shusharina, Greg Sharp, Luis Ibanez, Steve Pieper)&lt;br /&gt;
#[[2011_Summer_Project_Week_Watersheds|Interactive Watersheds Segmentation Module for Slicer  for Atrial Fibrillation and HN Cancer]] (Josh Cates, Ross Whitaker, Steve Pieper, Jim Miller, Nadya)&lt;br /&gt;
#[[2011_Summer_Project_Week_NerveSeg|Segmentation of Nerve and Nerve Ganglia in the Spine]] (Adrian Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud Schmidt, Polina Golland)&lt;br /&gt;
#Image Manifold Learning with Spectral Embedding and Laplacian Eigenmaps (Ramesh Sridharan, Polina Golland)&lt;br /&gt;
#Shapeworks Shape Analysis for Atrial Fibrilliation and HD (Manasi Datar, Beatriz UNC, Mark Scully)&lt;br /&gt;
#Explore the applicability of RSS and Shapeworks for Ventricular Segmentation(Chiara Carminati, ?, ?)&lt;br /&gt;
#[[2011_Summer_Project_Week_Integrate_BRAINSCut_into_Slicer3]](Regina Kim, ... )&lt;br /&gt;
#[[2011_Summer_Project_Week_SlicerVmtk4|The Vascular Modeling Toolkit in 3D Slicer 4]] (Daniel Haehn, Luca Antiga, Steve Pieper, Kilian Pohl, Ron Kikinis)	&lt;br /&gt;
#[[2011_Summer_Project_Week__LANDWARP_integration|Integration of LANDWARP into interactive registration module]] (Andrey Fedorov, Greg Sharp, Nadya Shusharina)&lt;br /&gt;
#[[2011_Summer_Project_Week_Registration_of_mouse_brains|Registration of mouse brains]] (Francois Budin)&lt;br /&gt;
#ShapeWorks Applications (Manasi Datar, Beatriz Paniagua, Martin Styner, Ross Whitaker, ?)&lt;br /&gt;
#[[2011_Summer_Project__Week_Wireless_Joystick|Wireless joystick controlling medical devices and software (e.g. Slicer4) in the operating room]] (Szymon Kostrzewski)&lt;br /&gt;
#[[2011_Summer_Project__Week_Live_Tracked_Ultrasound|Live Tracked Ultrasound with Slicer4 (Tamas Heffter)]]&lt;br /&gt;
#[http://wiki.na-mic.org/Wiki/index.php/Survey_stealthlink_openigtlink Surveying research teams interested in Open IGT Link support of Stealth Station (Nobuhiko Hata, Ron Kikinis)]&lt;br /&gt;
#[[2011_Summer_Project_Week_DTIPrep|DTIPrep - &amp;quot;Study-specific Protocol&amp;quot; based automatic DWI/DTI quality control and preparation]] - Huntington's Disease (Mashid Farzinfar, Clement Vachet, Joy Matsui, Martin Styner)&lt;br /&gt;
#[[2011_Summer_Project_Week_DTI_PairWise_Registration|DTI pair-wise registration module]] - Huntington's Disease (Clement Vachet, Joy Matsui, Mark Scully, Martin Styner)&lt;br /&gt;
#Volumetric DTI into Slicer for HD for Tract based roi segmentation (Steve Callahan, Mark Scully, Jim Miller)&lt;br /&gt;
#Nifti Support for Diffusion Tensor Images (Demian)&lt;br /&gt;
#Finishing details on the workflows: DICOM-&amp;gt;Full brain tractography / peritumoral (Demian)&lt;br /&gt;
#[[2011_Summer_Project_Week_Slicer4_Tractography_Interaction_and_Display|Tractography Bundle/Cluster Interaction and Display in Slicer4]] (Lauren, Isaiah, Demian)&lt;br /&gt;
#[[2011_Summer_Project_Week_White_Matter_Laterality|White Matter Laterality in Python/Slicer4]] (Lauren)&lt;br /&gt;
#[[Summer_project_week_2011_Finsler_Streamlines|Adding streamlined tractography to the Finsler front propagation tractography toolkit]] (Antonio Tristán-Vega)&lt;br /&gt;
#[[Summer_project_week_2011_Workflows_SOA|Workflows and Service Oriented Architecture Modules for Slicer4 as Extensions]] (Alexander Zaitsev, Wendy Plesniak, Ron Kikinis)&lt;br /&gt;
#[[2011_Summer_Project__Week_DICOM_Networking|DICOM Networking interface for Slicer4]] (Steve Pieper, Nicole Aucoin, Noby Hata)&lt;br /&gt;
#[[2011_Summer_Project__Week_Stenosis_Detector|Stenosis Detector in 3D Slicer 4]] (Suares Tamekue, Daniel Haehn, Luca Antiga)&lt;br /&gt;
#[[2011_Summer_Project_Week_Spine_Segmentation_And_Osteoporosis_Screening_CT|Spine Segmentation &amp;amp; Osteoporosis Screening In CT Imaging Studies]] (Anthony Blumfield)&lt;br /&gt;
#Slicer module for building an average population HARDI Atlas (Ryan Eckbo)&lt;br /&gt;
#[[2011_Summer_Project_Week_4DUltrasound_HybridProbe_OsteoPlan|4D Ultrasound / Hybrid Probe / OsteoPlan]] (Laurent Chauvin, Noby Hata)&lt;br /&gt;
#[[2011_Summer_Project_Week_EMSegmentation_in_3D_Slicer4|EM Segmentation in 3D Slicer 4]] (Daniel Haehn, Dominique Belhachemi, Kilian Pohl)&lt;br /&gt;
#[[NonRigidRegistrationThatAccommodatesResection|Demons Based Non-Rigid Registration that Accommodates Resection in 3D Slicer]] (Petter Risholm, Sandy Wells)&lt;br /&gt;
#[[2011_Summer_Project_Week_re-parameterize_fiber|Re-parameterize fiber tracts for fiber statistics analysis]]&lt;br /&gt;
#[[2011_Summer_Project_Week_Automated_GUI_Testing| Automated GUI Testing (Sonia Pujol, Steve Pieper, Dave Partyka, Jean-Christophe Fillion-Robin, Xiaodong Tao)]]&lt;br /&gt;
#[[2011_Summer_Project_Week_Plastimatch_for_EMSegmenter | Integrating Plastimatch into the EMSegmenter]] (Dominique Belhachemi, Kilian Pohl, Greg Sharp)&lt;br /&gt;
#[[2011_Summer_Project_Week_Customizing_EMSegmenter_pipelines_for_brain_lesions | Customizing EMSegmenter pipelines for brain lesions]] (Dominique Belhachemi, Alexander Zaitsev, Kilian Pohl)&lt;br /&gt;
#[[2011_Summer_Project_Week_Slicer_Extension_for_GLISTR | Slicer extension for GLiome Image SegmenTation and Registration (GLISTR)]] (Andreas Schuh, Daniel Haehn, Kilian Pohl)&lt;br /&gt;
#[[2011_Summer_Project_Week_WMGeometry_Slicer4 | White matter geometry measures in Slicer 4]] (Peter Savadjiev)&lt;br /&gt;
#[[2011_Summer_Project_Week_Internationalization_of_Slicer|Internationalization of Slicer]] (Luping Fang, Steve Pieper, Daniel Haehn, Suares Tamekue, Jean-Christophe Fillion-Robin, Julien Finet, Yiming Ge, Ping Cao)&lt;br /&gt;
#[[2011_Summer_Project_Week__BRAINSFit_new_features_integration|Integrate new features into BRAINSFit]] (Andrey Fedorov, Hans Johnson, Mark Scully)&lt;br /&gt;
#[[2011_Summer_Project_Week_FetchMI:_Slicer_integration_with_XNAT |FetchMI: Slicer integration with XNAT 1.5]] (Misha Milchenko, Wendy Plesniak)&lt;br /&gt;
#[[2011_Summer_Project_Week_ODF_though_Fiber_Counting | ODF computation through fiber counting]] (Yinpeng Li, Ipek Oguz, Martin Styner)&lt;br /&gt;
#[[2011_Summer_Project_Week_Intraoperative_Brain_Shift_Monitor|Intraoperative Brain Shift Monitor]] (Jason White, Alex Golby, Steve Pieper)&lt;br /&gt;
#[[2011_Summer_Project_Week_DTI_Volumetric_Segmentation_for_Group_studies | DTI Volumetric Segmentation for Group studies]] (Gopal Veni, Ross Whitaker)&lt;br /&gt;
#[[2011_Summer_Project_Week_Segementation_Reconstruction_Pericardial_Sac]] (Mohasen)&lt;br /&gt;
#[[2011_Summer_Project_Week_Needle_Detection_to_Control_Scanner_for_Prostate_Biopsy | Needle Detection to Control Scanner for Prostate Biopsy ]] (Atsushi Yamada, Loïc Cadour, Junichi Tokuda and Nobuhiko Hata)&lt;br /&gt;
&lt;br /&gt;
==Background==&lt;br /&gt;
&lt;br /&gt;
We are pleased to announce the 13th PROJECT WEEK of hands-on research and development activity for applications in Image-Guided Therapy, Neuroscience, and several additional areas of biomedical research that enable personalized medicine. Participants will engage in open source programming using the [[NA-MIC-Kit|NA-MIC Kit]], algorithm design, medical imaging sequence development, tracking experiments, and clinical application. The main goal of this event is to move forward the translational research deliverables of the sponsoring centers and their collaborators. Active and potential collaborators are encouraged and welcome to attend this event. This event will be set up to maximize informal interaction between participants.  If you would like to learn more about this event, please [http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-project-week click here to join our mailing list].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Active preparation begins on Thursday, April 28th at 3pm ET, with a kick-off teleconference.  Invitations to this call will be sent to members of the sponsoring communities, their collaborators, past attendees of the event, as well as any parties who have expressed an interest in working with these centers. The main goal of the kick-off call is to get an idea of which groups/projects will be active at the upcoming event, and to ensure that there is sufficient coverage for all. Subsequent teleconferences will allow for more focused discussions on individual projects and allow the hosts to finalize the project teams, consolidate any common components, and identify topics that should be discussed in breakout sessions. In the final days leading upto the meeting, all project teams will be asked to fill in a template page on this wiki that describes the objectives and plan of their projects.  &lt;br /&gt;
&lt;br /&gt;
The event itself will start off with a short presentation by each project team, driven using their previously created description, and will help all participants get acquainted with others who are doing similar work. In the rest of the week, about half the time will be spent in breakout discussions on topics of common interest of subsets of the attendees, and the other half will be spent in project teams, doing hands-on project work.  The hands-on activities will be done in 40-50 small teams of size 2-4, each with a mix of multi-disciplinary expertise.  To facilitate this work, a large room at MIT will be setup with several tables, with internet and power access, and each computer software development based team will gather on a table with their individual laptops, connect to the internet to download their software and data, and be able to work on their projects.  Teams working on projects that require the use of medical devices will proceed to Brigham and Women's Hospital and carry out their experiments there. On the last day of the event, a closing presentation session will be held in which each project team will present a summary of what they accomplished during the week.&lt;br /&gt;
&lt;br /&gt;
This event is part of the translational research efforts of [http://www.na-mic.org NA-MIC], [http://www.ncigt.org NCIGT], [http://nac.spl.harvard.edu/ NAC], [http://catalyst.harvard.edu/home.html Harvard Catalyst], and [http://www.cimit.org CIMIT].  It is an expansion of the NA-MIC Summer Project Week that has been held annually since 2005. It will be held every summer at MIT and Brigham and Womens Hospital in Boston, typically during the last full week of June, and in Salt Lake City in the winter, typically during the second week of January.  &lt;br /&gt;
&lt;br /&gt;
A summary of all past NA-MIC Project Events is available [[Project_Events#Past|here]].&lt;br /&gt;
&lt;br /&gt;
== Logistics ==&lt;br /&gt;
*'''Dates:''' June 20-24, 2011&lt;br /&gt;
*'''Location:''' MIT. [[Meeting_Locations:MIT_Grier_A_%26B|Grier Rooms A &amp;amp; B: 34-401A &amp;amp; 34-401B]].&lt;br /&gt;
*'''REGISTRATION:''' Please register [http://guest.cvent.com/d/sdqy0l/4W here].  Payment must be made by credit card.&lt;br /&gt;
*'''Registration Fee:''' $260 (covers the cost of breakfast, lunch and coffee breaks for the week). &lt;br /&gt;
*'''Hotel:''' Boston Marriott Cambridge, Two Cambridge Center, 50 Broadway, Cambridge, MA 02142.  Group rate is $199/night plus tax.  Book [http://www.marriott.com/hotels/travel/boscb?groupCode=jrbjrba&amp;amp;app=resvlink&amp;amp;fromDate=6/19/11&amp;amp;toDate=6/24/11 here] or call 1-617-494-6600 and mention that you are booking in the MIT Room Block.  '''All reservations must be made by May 29, 2011 to receive the discounted rate.'''&lt;br /&gt;
&lt;br /&gt;
== Preparation ==&lt;br /&gt;
&lt;br /&gt;
# Please make sure that you are on the http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-project-week mailing list&lt;br /&gt;
# The NA-MIC engineering team will be discussing infrastructure projects in a kickoff TCON on April 28, 3pm ET.  In the weeks following, new and old participants from the above mailing list will be invited to join to discuss their projects, so please make sure you are on it!&lt;br /&gt;
# By 3pm ET on Thursday May 12, all participants to add a one line title of their project to #Projects&lt;br /&gt;
#By 3pm ET on Thursday June 9, all project leads to complete [[Project_Week/Template|Complete a templated wiki page for your project]]. Please do not edit the template page itself, but create a new page for your project and cut-and-paste the text from this template page.  If you have questions, please send an email to tkapur at bwh.harvard.edu.&lt;br /&gt;
# By 3pm on June 16: Create a directory for each project on the [[Engineering:SandBox|NAMIC Sandbox]] (Zack)&lt;br /&gt;
## Commit on each sandbox directory the code examples/snippets that represent our first guesses of appropriate methods. (Luis and Steve will help with this, as needed)&lt;br /&gt;
## Gather test images in any of the Data sharing resources we have (e.g. XNAT/MIDAS). These ones don't have to be many. At least three different cases, so we can get an idea of the modality-specific characteristics of these images. Put the IDs of these data sets on the wiki page. (the participants must do this.)&lt;br /&gt;
## Setup nightly tests on a separate Dashboard, where we will run the methods that we are experimenting with. The test should post result images and computation time. (Zack)&lt;br /&gt;
# Please note that by the time we get to the project event, we should be trying to close off a project milestone rather than starting to work on one...&lt;br /&gt;
# People doing Slicer related projects should come to project week with slicer built on your laptop.&lt;br /&gt;
## Projects to develop extension modules should work with the [http://viewvc.slicer.org/viewcvs.cgi/branches/Slicer-3-6/#dirlist Slicer-3-6 branch] (new code should not be checked into the branch).&lt;br /&gt;
## Projects to modify core behavior of slicer should be done on the [http://viewvc.slicer.org/viewcvs.cgi/trunk/ trunk].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Registrants==&lt;br /&gt;
&lt;br /&gt;
Do not add your name to this list- it is maintaining by the organizers based on your paid registration (see Logistics for link)&lt;br /&gt;
#	Nicole	Aucoin	,	Brigham and Women's Hospital&lt;br /&gt;
#	Dominique	Belhachemi	,	University of Pennsylvania&lt;br /&gt;
#	Anthony	Blumfiled	,	Radnostics&lt;br /&gt;
#	Lucile	Bompard	,	UNC NIRAL&lt;br /&gt;
#	Sylvain	Bouix	,	Brigham and Women's Hospital&lt;br /&gt;
#	Francois	Budin	,	UNC NIRAL&lt;br /&gt;
#	Steve	Callahan	,	University of Utah&lt;br /&gt;
#	Joshua	Cates	,	University of Utah&lt;br /&gt;
#	Laurent	Chauvin	,	Brigham and Women's Hospital&lt;br /&gt;
#	Adrian	Dalca	,	MIT CSAIL&lt;br /&gt;
#	Manasi	Datar	,	University of Utah&lt;br /&gt;
#	Colin	Davey	,	&lt;br /&gt;
#	Ryan	Eckbo	,	Brigham and Women's Hospital&lt;br /&gt;
#	Jan	Egger	,	University Hospital of Marburg&lt;br /&gt;
#	Luping	Fang	,	Zhejiang University of Technology, China&lt;br /&gt;
#	mahshid	farzinfar	,	UNC&lt;br /&gt;
#	Andriy	Fedorov	,	Brigham and Women's Hospital&lt;br /&gt;
#	Julien	Finet	,	Kitware Inc.&lt;br /&gt;
#	James	Fishbaugh	,	University of Utah&lt;br /&gt;
#	Greg	Gardner	,	University of Utah&lt;br /&gt;
#	Ronen	Globinsky	,	Yale University&lt;br /&gt;
#	Maged	Goubran	,	Robarts Research Institute&lt;br /&gt;
#	Daniel	Haehn	,	University of Pennsylvania&lt;br /&gt;
#	Mike	Halle	,	Brigham and Women's Hospital&lt;br /&gt;
#	Noby	Hata	,	Brigham and Women's Hospital&lt;br /&gt;
#	Tamas	Heffter	,	Queen's University&lt;br /&gt;
#	Andrei	Irimia	,	University of California, Los Angeles&lt;br /&gt;
#	Hans	Johnson	,	University of Iowa&lt;br /&gt;
#	Ilknur	Kabul	,	Kitware&lt;br /&gt;
#	Tina	Kapur	,	Brigham and Women's Hospital&lt;br /&gt;
#	Ron	Kikinis	,	Brigham and Women's Hospital; Harvard Medical School&lt;br /&gt;
#	Regina	Kim	,	University of Iowa&lt;br /&gt;
#	Szymon	Kostrzewski	,	Ecole Polytechnique Federale de Lausanne EPFL&lt;br /&gt;
#	Dillon	Lee	,	University of Utah&lt;br /&gt;
#	Yinpeng	Li	,	UNC-NIRAL&lt;br /&gt;
#	Yifei	Lou	,	Georgia Institute of Technology&lt;br /&gt;
#	mohsen	mahvash	,	Harvard Medical School (BWH and VA)&lt;br /&gt;
#	Katie	Mastrogiacomo	,	Brigham and Women's Hospital&lt;br /&gt;
#	Joy	Matsui	,	University of Iowa&lt;br /&gt;
#	Dominik	Meier	,	BWH&lt;br /&gt;
#	Mikhail	Milchenko	,	Washington University in St. Louis&lt;br /&gt;
#	James	Miller	,	GE Research&lt;br /&gt;
#	Isaiah 	Norton	,	Brigham and Women's Hospital&lt;br /&gt;
#	Danielle	Pace	,	Kitware&lt;br /&gt;
#	Beatriz	Paniagua	,	University of North Carolina at Chapel Hill&lt;br /&gt;
#	Xenophon	Papademetris	,	Yale University&lt;br /&gt;
#	Kedar	Patwardhan	,	GE Global Research&lt;br /&gt;
#	Steve	Pieper	,	Isomics, Inc.&lt;br /&gt;
#	Csaba	Pinter	,	Queen's University&lt;br /&gt;
#	Wendy	Plesniak	,	Brigham and Women's Hospital&lt;br /&gt;
#	Kilian	Pohl	,	UPenn&lt;br /&gt;
#	Marcel	Prastawa	,	University of Utah&lt;br /&gt;
#	Sonia	Pujol	,	Brigham and Women's Hospital&lt;br /&gt;
#	Martin	Rajchl	,	Robarts Research Institute&lt;br /&gt;
#	Petter	Risholm	,	Brigham and Women's Hospital&lt;br /&gt;
#	Peter 	Savadjiev	,	Brigham and Women's Hospital&lt;br /&gt;
#	Andreas	Schuh	,	University of Pennsylvania&lt;br /&gt;
#	Mark	Scully	,	University of Iowa&lt;br /&gt;
#	Gregory	Sharp	,	MGH&lt;br /&gt;
#	Yundi	Shi	,	UNC-Chapel Hill&lt;br /&gt;
#	Nadya	Shusharina	,	MGH&lt;br /&gt;
#	Ramesh	Sridharan	,	MIT CSAIL&lt;br /&gt;
#	Hao	Su	,	WPI&lt;br /&gt;
#	Suarez	Tamekue	,	Brigham and Women's Hospital&lt;br /&gt;
#	Xiaodong	Tao	,	GE Research&lt;br /&gt;
#	Clement	Vachet	,	UNC Chapel Hill&lt;br /&gt;
#	Antonio	Vega	,	Brigham and Women's Hospital&lt;br /&gt;
#	Gopal	Veni	,	University of Utah&lt;br /&gt;
#	Bo	Wang	,	University of Utah&lt;br /&gt;
#	Demian	Wasserman	,	Brigham and Women's Hospital&lt;br /&gt;
#	Sandy	Wells	,	Brigham and Women's Hospital&lt;br /&gt;
#	Jason 	White	,	Brigham and Women's Hospital&lt;br /&gt;
#	Atsushi	Yamada	,	Brigham and Women's Hospital&lt;br /&gt;
#	Alexander	Yarmarkovich	,	Isomics&lt;br /&gt;
#	Alexander	Zaitsev	,	Brigham and Women's Hospital&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week&amp;diff=67473</id>
		<title>2011 Summer Project Week</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week&amp;diff=67473"/>
		<updated>2011-06-02T19:10:05Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: /* Projects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;  Back to [[Events]]&lt;br /&gt;
&lt;br /&gt;
[[image:PW-MIT2011.png|right|200px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*'''Dates:''' June 20-24, 2011&lt;br /&gt;
*'''Location:''' MIT&lt;br /&gt;
&lt;br /&gt;
==Preliminary Agenda==&lt;br /&gt;
==Agenda==&lt;br /&gt;
&lt;br /&gt;
{|border=&amp;quot;1&amp;quot;&lt;br /&gt;
|-style=&amp;quot;background: #b0d5e6; color: #02186f; font-size: 130%&amp;quot; &lt;br /&gt;
!Time&lt;br /&gt;
!width=&amp;quot;250px&amp;quot;|Monday, June 20&lt;br /&gt;
!width=&amp;quot;250px&amp;quot;|Tuesday, June 21&lt;br /&gt;
!width=&amp;quot;250px&amp;quot;|Wednesday, June 22&lt;br /&gt;
!width=&amp;quot;250px&amp;quot;|Thursday, June 23&lt;br /&gt;
!width=&amp;quot;250px&amp;quot;|Friday, June 24&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#dbdbdb&amp;quot;|'''Project Presentations'''&lt;br /&gt;
|bgcolor=&amp;quot;#6494ec&amp;quot;|'''NA-MIC Update Day'''&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#88aaae&amp;quot;|'''IGT Day'''&lt;br /&gt;
|bgcolor=&amp;quot;#faedb6&amp;quot;|'''Reporting Day'''&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''8:30am'''&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''9am-12pm'''&lt;br /&gt;
|&lt;br /&gt;
|'''9am-11am:''' [[2011 Project Week Breakout Session: Slicer4|Slicer 4 Core Modules Usability Review]]''' [[MIT_Project_Week_Rooms#Star|Star Room]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''11-12pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt; [[2011 Summer Project Week Breakout Session Slicer4 Annotation|Slicer4 Annotations]] (Nicole Aucoin)&amp;lt;br&amp;gt;&lt;br /&gt;
[[MIT_Project_Week_Rooms#Star|Star Room]]&lt;br /&gt;
|'''9am-12pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [[2011 Project Week Breakout Session: ITK|ITK]] (Luis Ibanez)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
|'''9am-5pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [[2011 Summer Project Week Breakout Session:OpenIGTLink|OpenIGTLink]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
|'''10am-12pm:''' [[#Projects|Project Progress Updates]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''12pm-1pm'''&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch boxes; Adjourn by 1:30pm&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''1pm-5:30pm'''&lt;br /&gt;
|'''1-1:05pm: &amp;lt;font color=&amp;quot;#503020&amp;quot;&amp;gt;Ron Kikinis: Welcome&amp;lt;/font&amp;gt;'''&lt;br /&gt;
[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''1:05-3:30pm:''' [[#Projects|Project Introductions]] (all Project Leads)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3:30-5:00pm: NA-MIC Kit Update''' (Aylward, Miller, Pieper)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
|'''1-3pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [http://wiki.slicer.org/slicerWiki/index.php/Slicer4:MultiVolumeContainer#Summer_2011_Project_Week_Breakout_Session Slicer4 MultiVolume Containers] (Nicole Aucoin)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3-4pm:''' [[Summer_2011_Tutorial_Contest|Tutorial Contest Presentations]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''4-5pm:''' [[2011 Summer Project Week Breakout Session VTKCharts|VTK Charts]] (Marcus Hanwell)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#32-D407|32-D407]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
|'''12:45-1pm:''' [[Events:TutorialContestJune2011|Tutorial Contest Winner Announcement]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3-4pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt;Inter-subject Registration for EM segmenter&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;'''5pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Reception'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#R&amp;amp;D Pub|R&amp;amp;D Pub]]&lt;br /&gt;
|'''1-2pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; TBD&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''2-3pm:'''Breakout Session:TBD'''&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3-4pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session: TBD'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''5:30pm'''&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
==Projects==&lt;br /&gt;
#valuate the applicability of DICOM RT I/O facility in Slicer (via Plastimatch Extension) for Brachytherapy Planning (Tina Kapur, Greg Sharp, Robert Cormack?)&lt;br /&gt;
#Visualization of b-spline and vector fields (Steve, Danielle, Dominik)&lt;br /&gt;
#Annotation Module in Slicer4 (Nicole Aucoin, Daniel Haehn)&lt;br /&gt;
#Slicer4 Multivolume Containers (Ron Kikinis, Nicole Aucoin, Steve Pieper, ... )&lt;br /&gt;
#RECIST Slicer4 module (Nicole Aucoin)&lt;br /&gt;
#DicomToNrrdConverter refactoring ( Xiaodong Tao, Mark Scully)&lt;br /&gt;
#UNC Antialiasing Software as a Slicer extension or ITK module (Steve Pizer, Brad Davis, Petter Risholm, Andriy Fedorov)&lt;br /&gt;
# Normal consistency in particle correspondence computation using great circles in principal spheres - Huntington's Disease (Beatriz Paniagua, Martin Styner, Sungkyu Jung, Marc Scully)&lt;br /&gt;
# Group-wise Automatic Mesh-Based analysis of CortIcal Thickness (GAMBIT) - TBI (Clement Vachet, Martin Styner, Randi Gollub?)&lt;br /&gt;
#DTIProcessing - Huntington's Disease (Clement Vachet, Joy Matsui, Martin Styner)&lt;br /&gt;
#[[2011_Summer_Project__Week_Shape_Analysis_UNC |SPHARM &amp;amp; particles shape analysis - Huntington's Disease]] - Lucile Bompard, Clement Vachet, Mark Scully, Beatriz Paniagua, Martin Styner&lt;br /&gt;
# Non-rigid, inter-patient registration of bone masks derived from CT for Head and Neck Cancer Radiation Therapy (Ivan Kolesov, Yi Gao, Gregory Sharp, and Allen Tannenbaum)&lt;br /&gt;
# Robust Statiistical Segmentation (RSS) for the Atrial Fibrillation Ablation Therapy (Yi Gao, Kedar R, Wassim Haddad, and Allen Tannenbaum, Rob MacLeod, Josh Blauer, and Josh Cates)&lt;br /&gt;
#Mass Spectrometry for Brain Tumor Therapy (Behnood Gholami, Nathalie Agar)&lt;br /&gt;
#Multimodality Image Registration for TBI? (Yifei Lou, Danielle Pace, Jack Van Horn?, Marcel Prastawa?)&lt;br /&gt;
# DTIPrep - &amp;quot;Study-specific Protocol&amp;quot; based automatic DWI/DTI quality control and preparation - Huntington's Disease (Mashid Farzinfar, Clement Vachet, Joy Matsui, Martin Styner)&lt;br /&gt;
# Segmentation of Longitudinal TBI data (Bo Wang, Jack Van Horn, Andrei Irimia, Marcel Prastawa, Guido Gerig)&lt;br /&gt;
# Longitudinal Shape Regression - Huntington's Disease (James Fishbaugh, Guido Gerig)&lt;br /&gt;
# Dose volume histograms in Slicer (Greg Sharp, Nadya Shusharina, Steve Pieper, Csaba Pinter, Tina Kapur)&lt;br /&gt;
# [[2011_Summer_Project__Week_DICOM_RT|Synthetic images, vector fields, RT structures and RT doses in Slicer and ITK]]. (Nadya Shusharina, Greg Sharp, Luis Ibanez, Steve Pieper)&lt;br /&gt;
# Interactive Watersheds Segmentation Module for Slicer  for Atrial Fibrillation and HN Cancer (Josh Cates, Ross Whitaker, Steve Pieper, Jim Miller, Nadya)&lt;br /&gt;
# Segmentation of Nerve and Nerve Ganglia in the Spine (Adrian Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud Schmidt, Polina Golland)&lt;br /&gt;
# Image Manifold Learning with Spectral Embedding and Laplacian Eigenmaps (Ramesh Sridharan, Polina Golland)&lt;br /&gt;
# Shapeworks Shape Analysis for Atrial Fibrilliation and HD (Manasi Datar, Beatriz UNC, Marc Scully)&lt;br /&gt;
# Volumetric DTI into Slicer for HD for Tract based roi segmentation (Steve Callahan, Marc Scully, Jim Miller)&lt;br /&gt;
#Explore the applicability of RSS and Shapeworks for Ventricular Segmentation(Chiara Carminati, ?, ?)&lt;br /&gt;
# Integrate BRAINSCut into Slicer3(Regina Kim, ... )&lt;br /&gt;
# The Vascular Modeling Toolkit in 3D Slicer 4 (Daniel Haehn, Luca Antiga, Steve Pieper)	&lt;br /&gt;
# Integration of LANDWARP into interactive registration module for MR-guided prostate biopsy (Andrey Fedorov, Greg Sharp, Nadya Shusharina)&lt;br /&gt;
# Registration of mouse brains (Francois Budin)&lt;br /&gt;
# ShapeWorks Applications (Manasi Datar, Beatriz Paniagua, Martin Styner, Ross Whitaker, ?)&lt;br /&gt;
# Wireless joystick controlling Slicer4 (Szymon Kostrzewski)&lt;br /&gt;
# Live Tracked Ultrasound in 3D Slicer 4 (Tamas Heffter)&lt;br /&gt;
# [http://wiki.na-mic.org/Wiki/index.php/Survey_stealthlink_openigtlink Surveying research teams interested in Open IGT Link support of Stealth Station (Nobuhiko Hata, Ron Kikinis)]&lt;br /&gt;
#Nifti Support for Diffusion Tensor Images&lt;br /&gt;
# Finishing details on the workflows: DICOM-&amp;gt;Full brain tractography / peritumoral (Demian)&lt;br /&gt;
# Refactoring of the tractography display widget (Isaiah)&lt;br /&gt;
# Laterality (Lauren)&lt;br /&gt;
# Selection for models and bundles post-clustering (Lauren)&lt;br /&gt;
#ROI-based / picking selection of fiber bundles (Maybe one of Sylvain's interns)&lt;br /&gt;
#Adding streamlined tractography to the Finsler front propagation tractography toolkit (Antonio)&lt;br /&gt;
#Add ODF estimation / visualization (Antonio)&lt;br /&gt;
# Workflows and Service Oriented Architecture Modules for Slicer4 as Extensions (Alexander Zaitsev, Wendy Plesniak, Ron Kikinis)&lt;br /&gt;
# [[2011_Summer_Project__Week_DICOM_Networking|DICOM Networking interface for Slicer4]] (Steve Pieper, Nicole Aucoin, Noby Hata)&lt;br /&gt;
# Stenosis Detector in 3D Slicer 4 (Suares Tamekue, Daniel Haehn, Luca Antiga)&lt;br /&gt;
&lt;br /&gt;
==Background==&lt;br /&gt;
&lt;br /&gt;
We are pleased to announce the 13th PROJECT WEEK of hands-on research and development activity for applications in Image-Guided Therapy, Neuroscience, and several additional areas of biomedical research that enable personalized medicine. Participants will engage in open source programming using the [[NA-MIC-Kit|NA-MIC Kit]], algorithm design, medical imaging sequence development, tracking experiments, and clinical application. The main goal of this event is to move forward the translational research deliverables of the sponsoring centers and their collaborators. Active and potential collaborators are encouraged and welcome to attend this event. This event will be set up to maximize informal interaction between participants.  If you would like to learn more about this event, please [http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-project-week click here to join our mailing list].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Active preparation begins on Thursday, April 28th at 3pm ET, with a kick-off teleconference.  Invitations to this call will be sent to members of the sponsoring communities, their collaborators, past attendees of the event, as well as any parties who have expressed an interest in working with these centers. The main goal of the kick-off call is to get an idea of which groups/projects will be active at the upcoming event, and to ensure that there is sufficient coverage for all. Subsequent teleconferences will allow for more focused discussions on individual projects and allow the hosts to finalize the project teams, consolidate any common components, and identify topics that should be discussed in breakout sessions. In the final days leading upto the meeting, all project teams will be asked to fill in a template page on this wiki that describes the objectives and plan of their projects.  &lt;br /&gt;
&lt;br /&gt;
The event itself will start off with a short presentation by each project team, driven using their previously created description, and will help all participants get acquainted with others who are doing similar work. In the rest of the week, about half the time will be spent in breakout discussions on topics of common interest of subsets of the attendees, and the other half will be spent in project teams, doing hands-on project work.  The hands-on activities will be done in 40-50 small teams of size 2-4, each with a mix of multi-disciplinary expertise.  To facilitate this work, a large room at MIT will be setup with several tables, with internet and power access, and each computer software development based team will gather on a table with their individual laptops, connect to the internet to download their software and data, and be able to work on their projects.  Teams working on projects that require the use of medical devices will proceed to Brigham and Women's Hospital and carry out their experiments there. On the last day of the event, a closing presentation session will be held in which each project team will present a summary of what they accomplished during the week.&lt;br /&gt;
&lt;br /&gt;
This event is part of the translational research efforts of [http://www.na-mic.org NA-MIC], [http://www.ncigt.org NCIGT], [http://nac.spl.harvard.edu/ NAC], [http://catalyst.harvard.edu/home.html Harvard Catalyst], and [http://www.cimit.org CIMIT].  It is an expansion of the NA-MIC Summer Project Week that has been held annually since 2005. It will be held every summer at MIT and Brigham and Womens Hospital in Boston, typically during the last full week of June, and in Salt Lake City in the winter, typically during the second week of January.  &lt;br /&gt;
&lt;br /&gt;
A summary of all past NA-MIC Project Events is available [[Project_Events#Past|here]].&lt;br /&gt;
&lt;br /&gt;
== Logistics ==&lt;br /&gt;
*'''Dates:''' June 20-24, 2011&lt;br /&gt;
*'''Location:''' MIT. [[Meeting_Locations:MIT_Grier_A_%26B|Grier Rooms A &amp;amp; B: 34-401A &amp;amp; 34-401B]].&lt;br /&gt;
*'''REGISTRATION:''' Please register [http://guest.cvent.com/d/sdqy0l/4W here].  Payment must be made by credit card.&lt;br /&gt;
*'''Registration Fee:''' $260 (covers the cost of breakfast, lunch and coffee breaks for the week). &lt;br /&gt;
*'''Hotel:''' Boston Marriott Cambridge, Two Cambridge Center, 50 Broadway, Cambridge, MA 02142.  Group rate is $199/night plus tax.  Book [http://www.marriott.com/hotels/travel/boscb?groupCode=jrbjrba&amp;amp;app=resvlink&amp;amp;fromDate=6/19/11&amp;amp;toDate=6/24/11 here] or call 1-617-494-6600 and mention that you are booking in the MIT Room Block.  '''All reservations must be made by May 29, 2011 to receive the discounted rate.'''&lt;br /&gt;
&lt;br /&gt;
== Preparation ==&lt;br /&gt;
&lt;br /&gt;
# Please make sure that you are on the http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-project-week mailing list&lt;br /&gt;
# The NA-MIC engineering team will be discussing infrastructure projects in a kickoff TCON on April 28, 3pm ET.  In the weeks following, new and old participants from the above mailing list will be invited to join to discuss their projects, so please make sure you are on it!&lt;br /&gt;
# By 3pm ET on Thursday May 12, all participants to add a one line title of their project to #Projects&lt;br /&gt;
#By 3pm ET on Thursday June 9, all project leads to complete [[Project_Week/Template|Complete a templated wiki page for your project]]. Please do not edit the template page itself, but create a new page for your project and cut-and-paste the text from this template page.  If you have questions, please send an email to tkapur at bwh.harvard.edu.&lt;br /&gt;
# By 3pm on June 16: Create a directory for each project on the [[Engineering:SandBox|NAMIC Sandbox]] (Zack)&lt;br /&gt;
## Commit on each sandbox directory the code examples/snippets that represent our first guesses of appropriate methods. (Luis and Steve will help with this, as needed)&lt;br /&gt;
## Gather test images in any of the Data sharing resources we have (e.g. XNAT/MIDAS). These ones don't have to be many. At least three different cases, so we can get an idea of the modality-specific characteristics of these images. Put the IDs of these data sets on the wiki page. (the participants must do this.)&lt;br /&gt;
## Setup nightly tests on a separate Dashboard, where we will run the methods that we are experimenting with. The test should post result images and computation time. (Zack)&lt;br /&gt;
# Please note that by the time we get to the project event, we should be trying to close off a project milestone rather than starting to work on one...&lt;br /&gt;
# People doing Slicer related projects should come to project week with slicer built on your laptop.&lt;br /&gt;
## Projects to develop extension modules should work with the [http://viewvc.slicer.org/viewcvs.cgi/branches/Slicer-3-6/#dirlist Slicer-3-6 branch] (new code should not be checked into the branch).&lt;br /&gt;
## Projects to modify core behavior of slicer should be done on the [http://viewvc.slicer.org/viewcvs.cgi/trunk/ trunk].&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week&amp;diff=67472</id>
		<title>2011 Summer Project Week</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=2011_Summer_Project_Week&amp;diff=67472"/>
		<updated>2011-06-02T19:09:32Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: /* Projects */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;  Back to [[Events]]&lt;br /&gt;
&lt;br /&gt;
[[image:PW-MIT2011.png|right|200px]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*'''Dates:''' June 20-24, 2011&lt;br /&gt;
*'''Location:''' MIT&lt;br /&gt;
&lt;br /&gt;
==Preliminary Agenda==&lt;br /&gt;
==Agenda==&lt;br /&gt;
&lt;br /&gt;
{|border=&amp;quot;1&amp;quot;&lt;br /&gt;
|-style=&amp;quot;background: #b0d5e6; color: #02186f; font-size: 130%&amp;quot; &lt;br /&gt;
!Time&lt;br /&gt;
!width=&amp;quot;250px&amp;quot;|Monday, June 20&lt;br /&gt;
!width=&amp;quot;250px&amp;quot;|Tuesday, June 21&lt;br /&gt;
!width=&amp;quot;250px&amp;quot;|Wednesday, June 22&lt;br /&gt;
!width=&amp;quot;250px&amp;quot;|Thursday, June 23&lt;br /&gt;
!width=&amp;quot;250px&amp;quot;|Friday, June 24&lt;br /&gt;
|-&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#dbdbdb&amp;quot;|'''Project Presentations'''&lt;br /&gt;
|bgcolor=&amp;quot;#6494ec&amp;quot;|'''NA-MIC Update Day'''&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#88aaae&amp;quot;|'''IGT Day'''&lt;br /&gt;
|bgcolor=&amp;quot;#faedb6&amp;quot;|'''Reporting Day'''&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''8:30am'''&lt;br /&gt;
|&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Breakfast&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''9am-12pm'''&lt;br /&gt;
|&lt;br /&gt;
|'''9am-11am:''' [[2011 Project Week Breakout Session: Slicer4|Slicer 4 Core Modules Usability Review]]''' [[MIT_Project_Week_Rooms#Star|Star Room]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''11-12pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt; [[2011 Summer Project Week Breakout Session Slicer4 Annotation|Slicer4 Annotations]] (Nicole Aucoin)&amp;lt;br&amp;gt;&lt;br /&gt;
[[MIT_Project_Week_Rooms#Star|Star Room]]&lt;br /&gt;
|'''9am-12pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [[2011 Project Week Breakout Session: ITK|ITK]] (Luis Ibanez)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
|'''9am-5pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [[2011 Summer Project Week Breakout Session:OpenIGTLink|OpenIGTLink]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
|'''10am-12pm:''' [[#Projects|Project Progress Updates]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''12pm-1pm'''&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch&lt;br /&gt;
|bgcolor=&amp;quot;#ffffaa&amp;quot;|Lunch boxes; Adjourn by 1:30pm&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''1pm-5:30pm'''&lt;br /&gt;
|'''1-1:05pm: &amp;lt;font color=&amp;quot;#503020&amp;quot;&amp;gt;Ron Kikinis: Welcome&amp;lt;/font&amp;gt;'''&lt;br /&gt;
[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''1:05-3:30pm:''' [[#Projects|Project Introductions]] (all Project Leads)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3:30-5:00pm: NA-MIC Kit Update''' (Aylward, Miller, Pieper)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
|'''1-3pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; [http://wiki.slicer.org/slicerWiki/index.php/Slicer4:MultiVolumeContainer#Summer_2011_Project_Week_Breakout_Session Slicer4 MultiVolume Containers] (Nicole Aucoin)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3-4pm:''' [[Summer_2011_Tutorial_Contest|Tutorial Contest Presentations]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''4-5pm:''' [[2011 Summer Project Week Breakout Session VTKCharts|VTK Charts]] (Marcus Hanwell)&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#32-D407|32-D407]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
|'''12:45-1pm:''' [[Events:TutorialContestJune2011|Tutorial Contest Winner Announcement]]&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Grier Rooms]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3-4pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt;Inter-subject Registration for EM segmenter&lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#Grier_34-401_AB|Star Room]]&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;'''5pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Reception'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;br&amp;gt;[[MIT_Project_Week_Rooms#R&amp;amp;D Pub|R&amp;amp;D Pub]]&lt;br /&gt;
|'''1-2pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session:'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; TBD&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''2-3pm:'''Breakout Session:TBD'''&lt;br /&gt;
&amp;lt;br&amp;gt;----------------------------------------&amp;lt;br&amp;gt;&lt;br /&gt;
'''3-4pm: &amp;lt;font color=&amp;quot;#4020ff&amp;quot;&amp;gt;Breakout Session: TBD'''&amp;lt;/font&amp;gt;&amp;lt;br&amp;gt; &lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|bgcolor=&amp;quot;#ffffdd&amp;quot;|'''5:30pm'''&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|bgcolor=&amp;quot;#f0e68b&amp;quot;|Adjourn for the day&lt;br /&gt;
|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
==Projects==&lt;br /&gt;
#valuate the applicability of DICOM RT I/O facility in Slicer (via Plastimatch Extension) for Brachytherapy Planning (Tina Kapur, Greg Sharp, Robert Cormack?)&lt;br /&gt;
#Visualization of b-spline and vector fields (Steve, Danielle, Dominik)&lt;br /&gt;
#Annotation Module in Slicer4 (Nicole Aucoin, Daniel Haehn)&lt;br /&gt;
#Slicer4 Multivolume Containers (Ron Kikinis, Nicole Aucoin, Steve Pieper, ... )&lt;br /&gt;
#RECIST Slicer4 module (Nicole Aucoin)&lt;br /&gt;
#DicomToNrrdConverter refactoring ( Xiaodong Tao, Mark Scully)&lt;br /&gt;
#UNC Antialiasing Software as a Slicer extension or ITK module (Steve Pizer, Brad Davis, Petter Risholm, Andriy Fedorov)&lt;br /&gt;
# Normal consistency in particle correspondence computation using great circles in principal spheres - Huntington's Disease (Beatriz Paniagua, Martin Styner, Sungkyu Jung, Marc Scully)&lt;br /&gt;
# Group-wise Automatic Mesh-Based analysis of CortIcal Thickness (GAMBIT) - TBI (Clement Vachet, Martin Styner, Randi Gollub?)&lt;br /&gt;
#DTIProcessing - Huntington's Disease (Clement Vachet, Joy Matsui, Martin Styner)&lt;br /&gt;
#[[2011_Summer_Project__Week_Shape_Analysis_UNC |SPHARM &amp;amp; particles shape analysis - Huntington's Disease]] - Lucile Bompard, Clement Vachet, Mark Scully, Beatriz Paniagua, Martin Styner&lt;br /&gt;
# Non-rigid, inter-patient registration of bone masks derived from CT for Head and Neck Cancer Radiation Therapy (Ivan Kolesov, Yi Gao, Gregory Sharp, and Allen Tannenbaum)&lt;br /&gt;
# Robust Statiistical Segmentation (RSS) for the Atrial Fibrillation Ablation Therapy (Yi Gao, Kedar R, Wassim Haddad, and Allen Tannenbaum, Rob MacLeod, Josh Blauer, and Josh Cates)&lt;br /&gt;
#Mass Spectrometry for Brain Tumor Therapy (Behnood Gholami, Nathalie Agar)&lt;br /&gt;
#Multimodality Image Registration for TBI? (Yifei Lou, Danielle Pace, Jack Van Horn?, Marcel Prastawa?)&lt;br /&gt;
# DTIPrep - &amp;quot;Study-specific Protocol&amp;quot; based automatic DWI/DTI quality control and preparation - Huntington's Disease (Mashid Farzinfar, Clement Vachet, Joy Matsui, Martin Styner)&lt;br /&gt;
# Segmentation of Longitudinal TBI data (Bo Wang, Jack Van Horn, Andrei Irimia, Marcel Prastawa, Guido Gerig)&lt;br /&gt;
# Longitudinal Shape Regression - Huntington's Disease (James Fishbaugh, Guido Gerig)&lt;br /&gt;
# Dose volume histograms in Slicer (Greg Sharp, Nadya Shusharina, Steve Pieper, Csaba Pinter, Tina Kapur)&lt;br /&gt;
# [[2011_Summer_Project__Week_DICOM_RT|Synthetic images, vector fields, RT structures and RT doses in Slicer and ITK]]. (Nadya Shusharina, Greg Sharp, Luis Ibanez, Steve Pieper)&lt;br /&gt;
# Interactive Watersheds Segmentation Module for Slicer  for Atrial Fibrillation and HN Cancer (Josh Cates, Ross Whitaker, Steve Pieper, Jim Miller, Nadya)&lt;br /&gt;
# Segmentation of Nerve and Nerve Ganglia in the Spine (Adrian Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud Schmidt, Polina Golland)&lt;br /&gt;
# Image Manifold Learning with Spectral Embedding and Laplacian Eigenmaps (Ramesh Sridharan, Polina Golland)&lt;br /&gt;
# Shapeworks Shape Analysis for Atrial Fibrilliation and HD (Manasi Datar, Beatriz UNC, Marc Scully)&lt;br /&gt;
# Volumetric DTI into Slicer for HD for Tract based roi segmentation (Steve Callahan, Marc Scully, Jim Miller)&lt;br /&gt;
#Explore the applicability of RSS and Shapeworks for Ventricular Segmentation(Chiara Carminati, ?, ?)&lt;br /&gt;
# Integrate BRAINSCut into Slicer3(Regina Kim, ... )&lt;br /&gt;
# The Vascular Modeling Toolkit in 3D Slicer 4 (Daniel Haehn, Luca Antiga, Steve Pieper)	&lt;br /&gt;
# Integration of LANDWARP into interactive registration module for MR-guided prostate biopsy (Andrey Fedorov, Greg Sharp, Nadya Shusharina)&lt;br /&gt;
# Registration of mouse brains (Francois Budin)&lt;br /&gt;
# ShapeWorks Applications (Manasi Datar, Beatriz Paniagua, Martin Styner, Ross Whitaker, ?)&lt;br /&gt;
# Wireless joystick controlling Slicer4 (Szymon Kostrzewski)&lt;br /&gt;
# Live Tracked Ultrasound in 3D Slicer 4 (Tamas Heffter)&lt;br /&gt;
# [http://wiki.na-mic.org/Wiki/index.php/Survey_stealthlink_openigtlink Surveying research teams interested in Open IGT Link support of Stealth Station (Nobuhiko Hata, Ron Kikinis)]&lt;br /&gt;
#Nifti Support for Diffusion Tensor Images&lt;br /&gt;
# Finishing details on the workflows: DICOM-&amp;gt;Full brain tractography / peritumoral (Demian)&lt;br /&gt;
# Refactoring of the tractography display widget (Isaiah)&lt;br /&gt;
# Laterality (Lauren)&lt;br /&gt;
# Selection for models and bundles post-clustering (Lauren)&lt;br /&gt;
#ROI-based / picking selection of fiber bundles (Maybe one of Sylvain's interns)&lt;br /&gt;
#Adding streamlined tractography to the Finsler front propagation tractography toolkit (Antonio)&lt;br /&gt;
#Add ODF estimation / visualization (Antonio)&lt;br /&gt;
# Workflows and Service Oriented Architecture Modules for Slicer4 as Extensions (Alexander Zaitsev, Wendy Plesniak, Ron Kikinis)&lt;br /&gt;
# [[2011_Summer_Project__Week_DICOM_Networking|DICOM Networking interface for Slicer4]] (Steve Pieper, Nicole Aucoin, Noby Hata)&lt;br /&gt;
# Stenosis Detector based in 3D Slicer 4 (Suares Tamekue, Daniel Haehn, Luca Antiga)&lt;br /&gt;
&lt;br /&gt;
==Background==&lt;br /&gt;
&lt;br /&gt;
We are pleased to announce the 13th PROJECT WEEK of hands-on research and development activity for applications in Image-Guided Therapy, Neuroscience, and several additional areas of biomedical research that enable personalized medicine. Participants will engage in open source programming using the [[NA-MIC-Kit|NA-MIC Kit]], algorithm design, medical imaging sequence development, tracking experiments, and clinical application. The main goal of this event is to move forward the translational research deliverables of the sponsoring centers and their collaborators. Active and potential collaborators are encouraged and welcome to attend this event. This event will be set up to maximize informal interaction between participants.  If you would like to learn more about this event, please [http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-project-week click here to join our mailing list].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Active preparation begins on Thursday, April 28th at 3pm ET, with a kick-off teleconference.  Invitations to this call will be sent to members of the sponsoring communities, their collaborators, past attendees of the event, as well as any parties who have expressed an interest in working with these centers. The main goal of the kick-off call is to get an idea of which groups/projects will be active at the upcoming event, and to ensure that there is sufficient coverage for all. Subsequent teleconferences will allow for more focused discussions on individual projects and allow the hosts to finalize the project teams, consolidate any common components, and identify topics that should be discussed in breakout sessions. In the final days leading upto the meeting, all project teams will be asked to fill in a template page on this wiki that describes the objectives and plan of their projects.  &lt;br /&gt;
&lt;br /&gt;
The event itself will start off with a short presentation by each project team, driven using their previously created description, and will help all participants get acquainted with others who are doing similar work. In the rest of the week, about half the time will be spent in breakout discussions on topics of common interest of subsets of the attendees, and the other half will be spent in project teams, doing hands-on project work.  The hands-on activities will be done in 40-50 small teams of size 2-4, each with a mix of multi-disciplinary expertise.  To facilitate this work, a large room at MIT will be setup with several tables, with internet and power access, and each computer software development based team will gather on a table with their individual laptops, connect to the internet to download their software and data, and be able to work on their projects.  Teams working on projects that require the use of medical devices will proceed to Brigham and Women's Hospital and carry out their experiments there. On the last day of the event, a closing presentation session will be held in which each project team will present a summary of what they accomplished during the week.&lt;br /&gt;
&lt;br /&gt;
This event is part of the translational research efforts of [http://www.na-mic.org NA-MIC], [http://www.ncigt.org NCIGT], [http://nac.spl.harvard.edu/ NAC], [http://catalyst.harvard.edu/home.html Harvard Catalyst], and [http://www.cimit.org CIMIT].  It is an expansion of the NA-MIC Summer Project Week that has been held annually since 2005. It will be held every summer at MIT and Brigham and Womens Hospital in Boston, typically during the last full week of June, and in Salt Lake City in the winter, typically during the second week of January.  &lt;br /&gt;
&lt;br /&gt;
A summary of all past NA-MIC Project Events is available [[Project_Events#Past|here]].&lt;br /&gt;
&lt;br /&gt;
== Logistics ==&lt;br /&gt;
*'''Dates:''' June 20-24, 2011&lt;br /&gt;
*'''Location:''' MIT. [[Meeting_Locations:MIT_Grier_A_%26B|Grier Rooms A &amp;amp; B: 34-401A &amp;amp; 34-401B]].&lt;br /&gt;
*'''REGISTRATION:''' Please register [http://guest.cvent.com/d/sdqy0l/4W here].  Payment must be made by credit card.&lt;br /&gt;
*'''Registration Fee:''' $260 (covers the cost of breakfast, lunch and coffee breaks for the week). &lt;br /&gt;
*'''Hotel:''' Boston Marriott Cambridge, Two Cambridge Center, 50 Broadway, Cambridge, MA 02142.  Group rate is $199/night plus tax.  Book [http://www.marriott.com/hotels/travel/boscb?groupCode=jrbjrba&amp;amp;app=resvlink&amp;amp;fromDate=6/19/11&amp;amp;toDate=6/24/11 here] or call 1-617-494-6600 and mention that you are booking in the MIT Room Block.  '''All reservations must be made by May 29, 2011 to receive the discounted rate.'''&lt;br /&gt;
&lt;br /&gt;
== Preparation ==&lt;br /&gt;
&lt;br /&gt;
# Please make sure that you are on the http://public.kitware.com/cgi-bin/mailman/listinfo/na-mic-project-week mailing list&lt;br /&gt;
# The NA-MIC engineering team will be discussing infrastructure projects in a kickoff TCON on April 28, 3pm ET.  In the weeks following, new and old participants from the above mailing list will be invited to join to discuss their projects, so please make sure you are on it!&lt;br /&gt;
# By 3pm ET on Thursday May 12, all participants to add a one line title of their project to #Projects&lt;br /&gt;
#By 3pm ET on Thursday June 9, all project leads to complete [[Project_Week/Template|Complete a templated wiki page for your project]]. Please do not edit the template page itself, but create a new page for your project and cut-and-paste the text from this template page.  If you have questions, please send an email to tkapur at bwh.harvard.edu.&lt;br /&gt;
# By 3pm on June 16: Create a directory for each project on the [[Engineering:SandBox|NAMIC Sandbox]] (Zack)&lt;br /&gt;
## Commit on each sandbox directory the code examples/snippets that represent our first guesses of appropriate methods. (Luis and Steve will help with this, as needed)&lt;br /&gt;
## Gather test images in any of the Data sharing resources we have (e.g. XNAT/MIDAS). These ones don't have to be many. At least three different cases, so we can get an idea of the modality-specific characteristics of these images. Put the IDs of these data sets on the wiki page. (the participants must do this.)&lt;br /&gt;
## Setup nightly tests on a separate Dashboard, where we will run the methods that we are experimenting with. The test should post result images and computation time. (Zack)&lt;br /&gt;
# Please note that by the time we get to the project event, we should be trying to close off a project milestone rather than starting to work on one...&lt;br /&gt;
# People doing Slicer related projects should come to project week with slicer built on your laptop.&lt;br /&gt;
## Projects to develop extension modules should work with the [http://viewvc.slicer.org/viewcvs.cgi/branches/Slicer-3-6/#dirlist Slicer-3-6 branch] (new code should not be checked into the branch).&lt;br /&gt;
## Projects to modify core behavior of slicer should be done on the [http://viewvc.slicer.org/viewcvs.cgi/trunk/ trunk].&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=67349</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=67349"/>
		<updated>2011-05-27T19:36:52Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface so that we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameters are less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK modules avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and visualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;7&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which improves the user-friendliness by reducing the number of parameters usually required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write and complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;07/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=67347</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=67347"/>
		<updated>2011-05-27T19:33:48Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface so that we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameters are less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK modules avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and visualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which improves the user-friendliness by reducing the number of parameters usually required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write and complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;07/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65346</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65346"/>
		<updated>2011-03-18T13:58:43Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface so that we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameters are less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK modules avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and visualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which improves the user-friendliness by reducing the number of parameters usually required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write and complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;07/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65345</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65345"/>
		<updated>2011-03-18T13:53:54Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface so that we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameters are less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write and complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;07/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65344</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65344"/>
		<updated>2011-03-18T13:52:58Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface so that we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write and complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;07/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65343</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65343"/>
		<updated>2011-03-18T13:51:21Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write and complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;07/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65332</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65332"/>
		<updated>2011-03-17T19:21:36Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write and complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65330</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65330"/>
		<updated>2011-03-17T18:25:00Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write and complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65329</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65329"/>
		<updated>2011-03-17T18:24:37Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write an complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65328</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65328"/>
		<updated>2011-03-17T18:23:14Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/01/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;12/22/10&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;02/08/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;02/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write expose for diploma thesis, find enough references.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/13/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;03/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/15/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/20/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Write an complete the thesis &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;06/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65325</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65325"/>
		<updated>2011-03-17T18:07:44Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65324</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65324"/>
		<updated>2011-03-17T18:04:49Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|- &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;; align=&amp;quot;left&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65323</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65323"/>
		<updated>2011-03-17T18:02:51Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;center&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65322</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65322"/>
		<updated>2011-03-17T18:02:19Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65321</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65321"/>
		<updated>2011-03-17T18:01:29Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. &amp;lt;br&amp;gt; Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. &amp;lt;br&amp;gt;&lt;br /&gt;
Create a temporary stenosis detector molude in Slicer 3.  &amp;lt;br&amp;gt;Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). &amp;lt;br&amp;gt; We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.  &amp;lt;br&amp;gt;This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65320</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65320"/>
		<updated>2011-03-17T17:59:14Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis.&lt;br /&gt;
create a temporary stenosis detector molude in Slicer 3. Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages. This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65319</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65319"/>
		<updated>2011-03-17T17:58:03Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:6%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;2&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;3&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;4&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis.&lt;br /&gt;
create a temporary stenosis detector molude in Slicer 3. Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;5&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;6&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;8&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages. This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;9&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65318</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65318"/>
		<updated>2011-03-17T17:56:48Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:6%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis.&lt;br /&gt;
create a temporary stenosis detector molude in Slicer 3. Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages. This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65317</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65317"/>
		<updated>2011-03-17T17:55:41Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:1%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis.&lt;br /&gt;
create a temporary stenosis detector molude in Slicer 3. Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages. This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65316</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65316"/>
		<updated>2011-03-17T17:55:20Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:3%&amp;quot; | '''Task number'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis.&lt;br /&gt;
create a temporary stenosis detector molude in Slicer 3. Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages. This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;1&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65313</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65313"/>
		<updated>2011-03-17T17:45:30Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;| Design a prototyp of a wizard based graphical user interface.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement the designed graphical user interface, we can run it and navigate through the different wizard steps. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter. Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameter is less than the defined threshold value and save them in a container. &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis.&lt;br /&gt;
create a temporary stenosis detector molude in Slicer 3. Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above.&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages. This will be include into evaluation step (last wizard step) of our module.&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|Evalutation of the tool on testing datasets &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=black&amp;gt;05/31/11&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65312</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65312"/>
		<updated>2011-03-17T17:35:28Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''7:30-8:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''8:00-10:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''10:00-10:30'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''10:30-12:00'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''12:00-1:00'''  &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''1:00-3:00'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''05:00-07:00''' &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65311</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65311"/>
		<updated>2011-03-17T17:34:29Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''7:30-8:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Breakfast&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''8:00-10:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt; 8-9:30am: [[2011 Winter Project Week:Breakout Multi-Image Engineering|Breakout: Engineering of Multi-Volume Data in Slicer]] &amp;lt;br&amp;gt;  [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Arches)]&amp;lt;br&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''10:00-10:30'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Coffee&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''10:30-12:00'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|[[2011 Winter Project Week:Breakout DTI|Breakout: DTI - Next Generation]] (Hans Johnson, C-F Westin) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt;  Project Work&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''12:00-1:00'''  &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch&amp;lt;br&amp;gt; &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''1:00-3:00'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Work &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''05:00-07:00''' &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|'''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65310</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65310"/>
		<updated>2011-03-17T17:32:46Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''7:30-8:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Breakfast&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''8:00-10:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|8:00-9:00 [[AHM_2011:DBP-Briefing|DBP Briefing]] (Ron Kikinis) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;9:30-10:00 [[AHM_2011:2011TrainingCoreVision|Training Core Strategy Session]] &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt; Project Work &amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt; 8-9:30am: [[2011 Winter Project Week:Breakout Multi-Image Engineering|Breakout: Engineering of Multi-Volume Data in Slicer]] &amp;lt;br&amp;gt;  [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Arches)]&amp;lt;br&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''10:00-10:30'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Coffee&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''10:30-12:00'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|[[2011 Winter Project Week:Breakout Slicer|Breakout: Slicer 4 - Looking Forward]] (Steve Pieper, Julien Finet, Jean-Christophe Fillion-Robin)&amp;lt;br&amp;gt;[http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Arches)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt; Project Work&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|[[2011 Winter Project Week:Breakout DTI|Breakout: DTI - Next Generation]] (Hans Johnson, C-F Westin) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt;  Project Work&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''12:00-1:00'''  &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|  '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch &amp;lt;br&amp;gt; &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch&amp;lt;br&amp;gt; &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''1:00-3:00'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|1-2pm: [[2011 Winter Project Week:Breakout Pathology and Longitudinal Followup|Breakout: Pathology and Longitudinal Followup]] &amp;lt;br&amp;gt; (Guido Gerig) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;&lt;br /&gt;
2-3pm: [[2011 Winter Project Week:Breakout ShapeWorks|Breakout: Particle Shape Correspondence]] &amp;lt;br&amp;gt; (Martin Styner, Tom Fletcher, Ross Whitaker) &amp;lt;br&amp;gt; (Arches)&amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Work &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#CEE3F6; color:black&amp;quot;|'''05:00-07:00''' &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| '''&amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|4:30-6:30&amp;lt;br&amp;gt;[[2011_Winter_Project_Week:Breakout_Slicer#Afternoon_Qt_Loadable_Module_Tutorial|How to write a loadable module]](J2, JC)&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65309</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65309"/>
		<updated>2011-03-17T17:27:52Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:10%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:5%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:20%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''7:30-8:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Breakfast&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''8:00-10:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|8:00-9:00 [[AHM_2011:DBP-Briefing|DBP Briefing]] (Ron Kikinis) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;9:30-10:00 [[AHM_2011:2011TrainingCoreVision|Training Core Strategy Session]] &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt; Project Work &amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt; 8-9:30am: [[2011 Winter Project Week:Breakout Multi-Image Engineering|Breakout: Engineering of Multi-Volume Data in Slicer]] &amp;lt;br&amp;gt;  [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Arches)]&amp;lt;br&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''10:00-10:30'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Coffee&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''10:30-12:00'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''Vision10'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|[[2011 Winter Project Week:Breakout Slicer|Breakout: Slicer 4 - Looking Forward]] (Steve Pieper, Julien Finet, Jean-Christophe Fillion-Robin)&amp;lt;br&amp;gt;[http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Arches)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt; Project Work&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|[[2011 Winter Project Week:Breakout DTI|Breakout: DTI - Next Generation]] (Hans Johnson, C-F Westin) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt;  Project Work&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''12:00-1:00'''  &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch &amp;lt;br&amp;gt; &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch&amp;lt;br&amp;gt; &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''1:00-3:00'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|1:00 '''Welcome''' &amp;lt;br&amp;gt; Ron Kikinis &amp;lt;br&amp;gt; [[2011_Winter_Project_Week:Segment-a-spine|Segment a spine challenge]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;1:10pm '''Project Introductions''' &amp;lt;br&amp;gt; All Project Leads &amp;lt;br&amp;gt; &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|1-2pm: [[2011 Winter Project Week:Breakout Pathology and Longitudinal Followup|Breakout: Pathology and Longitudinal Followup]] &amp;lt;br&amp;gt; (Guido Gerig) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;&lt;br /&gt;
2-3pm: [[2011 Winter Project Week:Breakout ShapeWorks|Breakout: Particle Shape Correspondence]] &amp;lt;br&amp;gt; (Martin Styner, Tom Fletcher, Ross Whitaker) &amp;lt;br&amp;gt; (Arches)&amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Work &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''05:00-07:00''' &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|4:30-6:30&amp;lt;br&amp;gt;[[2011_Winter_Project_Week:Breakout_Slicer#Afternoon_Qt_Loadable_Module_Tutorial|How to write a loadable module]](J2, JC)&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65308</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65308"/>
		<updated>2011-03-17T17:25:09Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Tasks'''&lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Deadlines''' &lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Status'''&lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Comments''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''7:30-8:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Breakfast&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''8:00-10:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|8:00-9:00 [[AHM_2011:DBP-Briefing|DBP Briefing]] (Ron Kikinis) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;9:30-10:00 [[AHM_2011:2011TrainingCoreVision|Training Core Strategy Session]] &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt; Project Work &amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt; 8-9:30am: [[2011 Winter Project Week:Breakout Multi-Image Engineering|Breakout: Engineering of Multi-Volume Data in Slicer]] &amp;lt;br&amp;gt;  [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Arches)]&amp;lt;br&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''10:00-10:30'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Coffee&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''10:30-12:00'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''Vision10'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|[[2011 Winter Project Week:Breakout Slicer|Breakout: Slicer 4 - Looking Forward]] (Steve Pieper, Julien Finet, Jean-Christophe Fillion-Robin)&amp;lt;br&amp;gt;[http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Arches)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt; Project Work&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|[[2011 Winter Project Week:Breakout DTI|Breakout: DTI - Next Generation]] (Hans Johnson, C-F Westin) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt;  Project Work&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''12:00-1:00'''  &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch &amp;lt;br&amp;gt; &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch&amp;lt;br&amp;gt; &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''1:00-3:00'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|1:00 '''Welcome''' &amp;lt;br&amp;gt; Ron Kikinis &amp;lt;br&amp;gt; [[2011_Winter_Project_Week:Segment-a-spine|Segment a spine challenge]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;1:10pm '''Project Introductions''' &amp;lt;br&amp;gt; All Project Leads &amp;lt;br&amp;gt; &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|1-2pm: [[2011 Winter Project Week:Breakout Pathology and Longitudinal Followup|Breakout: Pathology and Longitudinal Followup]] &amp;lt;br&amp;gt; (Guido Gerig) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;&lt;br /&gt;
2-3pm: [[2011 Winter Project Week:Breakout ShapeWorks|Breakout: Particle Shape Correspondence]] &amp;lt;br&amp;gt; (Martin Styner, Tom Fletcher, Ross Whitaker) &amp;lt;br&amp;gt; (Arches)&amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Work &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''05:00-07:00''' &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|4:30-6:30&amp;lt;br&amp;gt;[[2011_Winter_Project_Week:Breakout_Slicer#Afternoon_Qt_Loadable_Module_Tutorial|How to write a loadable module]](J2, JC)&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65304</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=65304"/>
		<updated>2011-03-17T16:33:35Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
== Time line table== &lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot;&lt;br /&gt;
|- style=&amp;quot;background:#eeeeee; color:black&amp;quot; align=&amp;quot;left&amp;quot; &lt;br /&gt;
| style=&amp;quot;width:4%&amp;quot; | '''Time'''&lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Monday, January 10''' &lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Tuesday, January 11'''&lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Wednesday, January 12''' &lt;br /&gt;
| style=&amp;quot;width:32%&amp;quot; | '''Thursday, January 13 '''&lt;br /&gt;
| style=&amp;quot;width:12%&amp;quot; | '''Friday, January 14''' &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;| '''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
| style=&amp;quot;background:#F2E5D3; color:#522200&amp;quot;| '''AHM, EAB''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons, Arches, Deer Valley)]&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:#522200&amp;quot;|'''[[2011_Winter_Project_Week|Project Activities]] ''' &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Canyons)]&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''7:30-8:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#F2E5D3; color:black&amp;quot;| Breakfast&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Breakfast&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''8:00-10:00''' &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|8:00-9:00 [[AHM_2011:DBP-Briefing|DBP Briefing]] (Ron Kikinis) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;9:30-10:00 [[AHM_2011:2011TrainingCoreVision|Training Core Strategy Session]] &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt; Project Work &amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Work &amp;lt;br&amp;gt; 8-9:30am: [[2011 Winter Project Week:Breakout Multi-Image Engineering|Breakout: Engineering of Multi-Volume Data in Slicer]] &amp;lt;br&amp;gt;  [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Arches)]&amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#F2E5D3; color:black&amp;quot;|'''8:00''' Introduction, [http://www.spl.harvard.edu/~kikinis Ron Kikinis] &amp;lt;br&amp;gt;&lt;br /&gt;
'''8:05-10:00 Roadmap Projects'''&amp;lt;br&amp;gt;&lt;br /&gt;
: 8:05-8:25 Atrial Fibrillation, Rob MacLeod ([[Media:DBP-Afib-1up.pdf|slides (1up)‎]] and [[Media:DBP-Afib-2up.pdf|slides (2up)‎]]) &amp;lt;br&amp;gt;&lt;br /&gt;
: 8:25-8:45 Huntington's Diseases, Hans Johnson ([[Media:20110113_DTI_Intro.pdf|slides]]) &amp;lt;br&amp;gt;&lt;br /&gt;
: 8:45-9:05 Head and Neck Cancer, Greg Sharp  ([[Media:AHM2011-DBP3-HN-Cancer.pdf|slides]])&amp;lt;br&amp;gt;&lt;br /&gt;
: 9:05-9:25 Traumatic Brain Injury, Jack Van Horn ([[Media:NAMIC-DBP-AHM-2011_pptold.ppt|slides]])&amp;lt;br&amp;gt;&lt;br /&gt;
: 9:25-9:45 Image Guided Therapy, Nobuhiko Hata ([[Media:AHM2011-IGT-Hata-talk.pptx|slides]]) &amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Review &amp;lt;br&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''10:00-10:30'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#F2E5D3; color:black&amp;quot;| Coffee&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Coffee&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''10:30-12:00'''&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| '''Vision10'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|[[2011 Winter Project Week:Breakout Slicer|Breakout: Slicer 4 - Looking Forward]] (Steve Pieper, Julien Finet, Jean-Christophe Fillion-Robin)&amp;lt;br&amp;gt;[http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Arches)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt; Project Work&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|[[2011 Winter Project Week:Breakout DTI|Breakout: DTI - Next Generation]] (Hans Johnson, C-F Westin) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;*&amp;lt;br&amp;gt;  Project Work&lt;br /&gt;
&lt;br /&gt;
| style=&amp;quot;background:#F2E5D3; color:black&amp;quot;|&lt;br /&gt;
'''10:30-12:00: Algorithms''' &amp;lt;br&amp;gt;&lt;br /&gt;
:10:30-10:45 Overview, Ross Whitaker  ([[media:NAMIC_AHM_C1_intro_Jan11.ppt‎|slides]]) &amp;lt;br&amp;gt;&lt;br /&gt;
:10:45-11:00 Statistical models of anatomy and pathology, Polina Golland ([[media:NAMIC-AHM-2011-StatisticalModels.ppt‎|slides]]) &amp;lt;br&amp;gt;&lt;br /&gt;
:11:00-11:15 Geometric correspondence,  Guido Gerig ([[media:NAMIC-AHM-Geom-Registration.pdf‎|pdf slides]]) ([[media:NAMIC-AHM-Geom-Registration.ppt‎|ppt slides w movies]]) &amp;lt;br&amp;gt;&lt;br /&gt;
:11:15-11:30 User interactive tools for segmentation, Allen Tannenbaum   ([[media:Interactive.segmentation.january.2011.pdf‎|pdf slides]]) ([[media:Interactive.segmentation.january.2011.pdf‎‎|pdf slides]])  &amp;lt;br&amp;gt;&lt;br /&gt;
:11:30-11:45 Longitudinal and time-series analysis,  Martin Styner ([[media:2011_01_NAMIC_LongTimeSeries.pptx‎|slides]])&amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Review&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''12:00-1:00'''  &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch &amp;lt;br&amp;gt; &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Lunch&amp;lt;br&amp;gt; &lt;br /&gt;
| style=&amp;quot;background:#F2E5D3; color:black&amp;quot;| Lunch&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;| Boxed Lunch and Adjourn &lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''1:00-3:00'''&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|1:00 '''Welcome''' &amp;lt;br&amp;gt; Ron Kikinis &amp;lt;br&amp;gt; [[2011_Winter_Project_Week:Segment-a-spine|Segment a spine challenge]] &amp;lt;br&amp;gt;&amp;lt;br&amp;gt;1:10pm '''Project Introductions''' &amp;lt;br&amp;gt; All Project Leads &amp;lt;br&amp;gt; &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|1-2pm: [[2011 Winter Project Week:Breakout Pathology and Longitudinal Followup|Breakout: Pathology and Longitudinal Followup]] &amp;lt;br&amp;gt; (Guido Gerig) &amp;lt;br&amp;gt; [http://www.sheratonsaltlakecityhotel.com/assets/u/SI_1327_1flr.gif (Deer Valley)]&amp;lt;br&amp;gt;&lt;br /&gt;
2-3pm: [[2011 Winter Project Week:Breakout ShapeWorks|Breakout: Particle Shape Correspondence]] &amp;lt;br&amp;gt; (Martin Styner, Tom Fletcher, Ross Whitaker) &amp;lt;br&amp;gt; (Arches)&amp;lt;br&amp;gt;&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|Project Work  &lt;br /&gt;
| style=&amp;quot;background:#F2E5D3; color:black&amp;quot;|&lt;br /&gt;
&lt;br /&gt;
'''1:00-2:30 Engineering'''&amp;lt;br&amp;gt;&lt;br /&gt;
:1:00-1:15 2010 Highlights, Aims, Architecture, Will Schroeder ([[Media:AHM2011-Core1b-Engineering-Architecture.ppt|slides]])&amp;lt;br&amp;gt;&lt;br /&gt;
:1:15-1:30 End User Platform Slicer 4, Steve Pieper ([[Media:AHM2011-Core1b-Engineering-EndUserPlatform.ppt|slides]])&amp;lt;br&amp;gt;&lt;br /&gt;
:1:30-1:45 Computational Platform, CLI, Jim Miller ([[Media:AHM2011-Core1b-Engineering-ComputationalPlatform.ppt|slides]])&amp;lt;br&amp;gt;&lt;br /&gt;
:1:45-2:00 Data Management Platform, Stephen Aylward ([[Media:AHM2011-Core1b-Engineering-DataManagement.ppt|slides]])&amp;lt;br&amp;gt;&lt;br /&gt;
:2:00-2:15 Software Process, Stephen Aylward ([[Media:AHM2011-Core1b-Engineering-SoftwareProcess.ppt|slides]])&amp;lt;br&amp;gt;&lt;br /&gt;
'''2:30-3:00 Outreach and Training''' (Sonia Pujol) ([[Media:NA-MIC_TrainingOutreach_AHM2011_SoniaPujol.ppt‎|slides]]) &lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;|&lt;br /&gt;
|-&lt;br /&gt;
| style=&amp;quot;background:#eeeeee; color:black&amp;quot;|'''05:00-07:00''' &lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|4:30-6:30&amp;lt;br&amp;gt;[[2011_Winter_Project_Week:Breakout_Slicer#Afternoon_Qt_Loadable_Module_Tutorial|How to write a loadable module]](J2, JC)&lt;br /&gt;
| style=&amp;quot;background:#dbf3ff; color:black&amp;quot;|&lt;br /&gt;
| style=&amp;quot;background:#F2E5D3; color:black&amp;quot;|'''6:00''' Optional: [http://www.murphysbarandgrillut.com/ Beer at Murphy's] (like last year)&lt;br /&gt;
| style=&amp;quot;background:#ffffff; color:black&amp;quot;| &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/11/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/16/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 04/01/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;br /&gt;
8. Task (until 03/18/11)&lt;br /&gt;
* Write a container class in Python to save two coordinates (x,y,z) and a radius. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
9. Task (until 03/23/11)&lt;br /&gt;
* Write code in Python to do the following: Use the container from Task 8 to save the results from Task 6. So, these two tasks have to be completed before starting this one. Then, extend Task 6 to store the user click and the touch of the diameter in the container. Finally, use the values of the container to probe an intensity value exactly at the following location: the point on the line between the two coordinates in the container and the distance 2*radius from the first coordinate. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
10. Task (until 03/25/11)&lt;br /&gt;
* Use the intensity values from the user clicked point of Task 6 and the probed position of Task 9 to calculate a contrast measure between these two points. The measure should be low (less than 50) if the intensity values are similar and high (around 100-200) if the contrast is high. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
11. Task (until 04/15/11)&lt;br /&gt;
* Use the output of task 10 as parameter gamma for Frangi's VesselEnhancement. Use also proper values as discussed for alpha and beta. Also, Integrate the click-to-diameter functionality. Then, you should have a parameter free vesselness module where the user only clicks once to configure the filter. &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
	<entry>
		<id>https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=64692</id>
		<title>User talk:Tamekue</title>
		<link rel="alternate" type="text/html" href="https://www.na-mic.org/w/index.php?title=User_talk:Tamekue&amp;diff=64692"/>
		<updated>2011-02-26T01:47:52Z</updated>

		<summary type="html">&lt;p&gt;Tamekue: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=== Diploma Thesis - Tasks ===&lt;br /&gt;
&lt;br /&gt;
1. Task&lt;br /&gt;
* Find out how to use .UI files in Python (Slicer4). &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile&lt;br /&gt;
2. Task (until 03/04/11)&lt;br /&gt;
* Write expose for diploma thesis, find enough references. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
3. Task (until 02/24/11)&lt;br /&gt;
* Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is &amp;lt; THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will help to detect stenosis.&lt;br /&gt;
* Result: Loop through array realized. Stenosis are now found when radius is below a hard-coded threshold and put into a container &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
4. Task (until 02/21/11)&lt;br /&gt;
* Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. &amp;lt;font color=green&amp;gt;DONE&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.&lt;br /&gt;
5. Task (until 03/04/11)&lt;br /&gt;
* Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add the new method to the logic class of VMTKCenterlines. This will be the algorithm to detect stenosis. &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
6. Task (until 03/04/11)&lt;br /&gt;
* A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). &amp;lt;font color=red&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result: &lt;br /&gt;
7.Task (until 03/20/11)&lt;br /&gt;
* We use the gradient (deltaX) to compute the difference between radii of two points to distinguish if a stenosis is present or not in a relative fashion. Prepare the derivation for the formulas used and proof them for the thesis! &amp;lt;font color='red'&amp;gt;OPEN&amp;lt;/font&amp;gt;&lt;br /&gt;
* Result:&lt;/div&gt;</summary>
		<author><name>Tamekue</name></author>
		
	</entry>
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