CTSC:Slicer handson.022410 - Revision history

Valerie.humblet: /* Slides and Datasets */

2010-02-24T02:29:22Z

Slides and Datasets

2010-02-24T02:27:26Z

Slides and Datasets

2010-02-24T02:27:11Z

Slides and Datasets

2010-02-24T02:26:47Z

3D Slicer Medical Image Data Visualization Hands-On Workshop

2010-02-10T20:03:22Z

Learning Objectives

2010-02-05T20:23:27Z

3D Slicer Medical Image Data Visualization Hands-On Workshop

2010-02-05T20:21:31Z

2010-02-05T20:20:42Z

Syllabus

2010-02-05T20:07:28Z

Syllabus

2010-02-05T19:56:20Z

@@ Line 35: / Line 35: @@
 * Tutorial Slides:
+[[media:Tutorial022410.ppt | Slicer tutorial slides]]
 * Tutorial Data:

@@ Line 42: / Line 42: @@
 http://wiki.na-mic.org/Wiki/images/7/73/PETCTFusion-Tutorial-Data.zip
-* Tutorial Software:
+* Tutorial Software (for PC only):
 http://www.na-mic.org/Slicer/Download/Snapshots/win32/Slicer3-3.5-RSNA-2009-11-06-win32.exe

@@ Line 39: / Line 39: @@
 * Tutorial Data:
-http://wiki.na-mic.org/Wiki/images/5/51/Slicer3MinuteDataset.zip
+http://wiki.na-mic.org/Wiki/images/5/51/Slicer3MinuteDataset.zip <br>
 http://wiki.na-mic.org/Wiki/images/7/73/PETCTFusion-Tutorial-Data.zip

← Older revision		Revision as of 02:26, 24 February 2010
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	*Location: Countway Library (room 403), Harvard Medical School, 10 Shattuck Street, Boston		*Location: Countway Library (room 403), Harvard Medical School, 10 Shattuck Street, Boston
	*Contact for registration: e-mail [mailto:Image_consult@catalyst.harvard.edu Valerie Humblet]		*Contact for registration: e-mail [mailto:Image_consult@catalyst.harvard.edu Valerie Humblet]
		+
		+	== Slides and Datasets ==
		+
		+	* Tutorial Slides:
		+
		+
		+	* Tutorial Data:
		+
		+	http://wiki.na-mic.org/Wiki/images/5/51/Slicer3MinuteDataset.zip
		+	http://wiki.na-mic.org/Wiki/images/7/73/PETCTFusion-Tutorial-Data.zip
		+
		+	* Tutorial Software:
		+
		+	http://www.na-mic.org/Slicer/Download/Snapshots/win32/Slicer3-3.5-RSNA-2009-11-06-win32.exe
		+
		+	* More Information:
		+
		+	http://www.slicer.org

@@ Line 20: / Line 20: @@
 == Learning Objectives ==
-The learning objectives of the workshop are (a) to enhance interpretation of DICOM images through the use of 3D visualization, (b) to gain experience with interactive assessment of complex anatomical structures (c) to present current directions of open-source computer graphics applications in Radiology such as generation of quantitative imaging biomarkers for FDG-PET/CT. After completion of the workshop, participants will be able to visualize and analyze their own datasets within the 3DSlicer platform.
+The learning objectives of the workshop are (a) to enhance interpretation of DICOM images through the use of 3D visualization, (b) to gain experience with interactive assessment of complex anatomical structures (c) to present current directions of open-source computer graphics applications in Radiology such as generation of quantitative imaging biomarkers for FDG-PET/CT. After completion of the workshop, participants will be able to visualize and analyze their own datasets within the 3D Slicer platform.
 == Course Faculty ==

@@ Line 25: / Line 25: @@
 * Valerie Humblet, Ph.D. Harvard Catalyst, The Harvard CTSA, Harvard Medical School, Boston, MA
 * Wendy Plesniak, Ph.D., Surgical Planning Laboratory, Harvard Medical School, Department of Radiology, Brigham and Women's Hospital, Boston, MA
 == Logistics and Registration ==

← Older revision		Revision as of 20:21, 5 February 2010
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	*Location: Countway Library (room 403), Harvard Medical School, 10 Shattuck Street, Boston		*Location: Countway Library (room 403), Harvard Medical School, 10 Shattuck Street, Boston
	*Contact for registration: e-mail [mailto:Image_consult@catalyst.harvard.edu Valerie Humblet]		*Contact for registration: e-mail [mailto:Image_consult@catalyst.harvard.edu Valerie Humblet]
−
−
−	**FDG-PET/CT (pre/post-therapy whole-body imaging with SUV quantification).

@@ Line 13: / Line 13: @@
 The purpose of this tutorial is to provide the members of the research community with a practical experience of the capabilities of the Open Source 3D Slicer software platform. The curriculum is '''hands-on''' which means that participants will have access to computers.
 The course is divided into two sections:
-* an introduction on the concepts of 3D visualization, an experimental hands-on training session using an MR DICOM dataset of the brain
+* an introduction on the concepts of Slicer and 3D visualization.
-* a demonstration on how to use Slicer to generate quantitative image biomarkers from FDG-PET/CT. FDG-PET/CT (pre/post-therapy whole-body imaging with SUV quantification)
+* a demonstration on how to use Slicer to generate quantitative image biomarkers from FDG-PET/CT (pre/post-therapy whole-body imaging with SUV quantification)
 ==Target Audience==

@@ Line 1: / Line 1: @@
-'''The objectives of the workshop are''':
+Back to [[Collaboration:Harvard_CTSC|Collaboration:Harvard_CTSC]]
-* to enhance interpretation of DICOM images through the use of 3D visualization and analysis
+=3D Slicer Medical Image Data Visualization Hands-On Workshop=
-'''Upon completion of this course, participants should be able to'''
+<gallery>
-* Describe the methods used for basic analysis of quantitative imaging parameters
+== Syllabus ==
-* Describe the principles of image registration, segmentation, and volume measurement, and select and use appropriate software for 3D reconstruction
+The purpose of this tutorial is to provide the members of the research community with a practical experience of the capabilities of the Open Source 3D Slicer software platform. The curriculum is '''hands-on''' which means that participants will have access to computers.
-* Identify key analysis and acquisition requirements for multi-center quantitative studies
+The course is divided into two sections: an introduction on the concepts of 3D visualization, an experimental hands-on training session using an MR DICOM dataset of the brain and a demonstration on how to use Slicer to generate quantitative image biomarkers from FDG-PET/CT.
-* Evaluate the impact of quantitative analysis methodology on their research interest
 **FDG-PET/CT (pre/post-therapy whole-body imaging with SUV quantification).