2013 Summer Project Week:Sobolev Segmenter - Revision history

Kikinis at 09:48, 27 May 2013

2013-05-27T09:48:19Z

Kikinis at 09:47, 27 May 2013

2013-05-27T09:47:31Z

Tannenba at 18:22, 26 May 2013

2013-05-26T18:22:09Z

Anry at 18:03, 26 May 2013

2013-05-26T18:03:14Z

Anry at 18:02, 26 May 2013

2013-05-26T18:02:42Z

Anry at 17:59, 26 May 2013

2013-05-26T17:59:23Z

Anry: Created page with 'NOTOC Image:PW-MIT2013.png|Projects List Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus…'

2013-05-26T17:35:54Z

Created page with '__NOTOC__ <gallery> Image:PW-MIT2013.png|Projects List Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus…'

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__NOTOC__
<gallery>
Image:PW-MIT2013.png|[[2013_Summer_Project_Week#Projects|Projects List]]
Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
</gallery>

==Key Investigators==
* UAB: Arie Nakhmani, LiangJia Zhu, Allen Tannenbaum
* BWH: Yi Gao, Ron Kikinis
* Utah: Rob MacLeod, Josh Cates

<div style="margin: 20px;">
<div style="width: 27%; float: left; padding-right: 3%;">

<h3>Objective</h3>

</div>

<div style="width: 27%; float: left; padding-right: 3%;">

<h3>Approach, Plan</h3>

</div>

<div style="width: 40%; float: left;">

<h3>Progress</h3>

</div>
</div>

==Delivery Mechanism==

This work will be delivered to the NA-MIC Kit as a loadable Commandline extension and an Editor effect.

==References==
* A. Nakhmani, A. Tannenbaum, "Tracking with Adaptive Sobolev Snakes." Submitted to
IEEE Transactions on Image Processing.

* A. Nakhmani, A. Tannenbaum, "Self-Crossing Detection and Location for Parametric
Active Contours," IEEE Transactions on Image Processing, DOI:10.1109/TIP.2012.2188808,
Volume 21, Issue 7, pp. 3150-3156, July 2012.

@@ Line 17: / Line 17: @@
 <h3>Objective</h3>
 General segmentation tools can be used in a wide range of biomedical applications ranging from tumor delineation to the segmentation of the atrial wall. The latter may be used for the atrial fibrillation DBP.
-The Sobolev active contour is a [http://www.na-mic.org/Wiki/index.php/Projects:SobolevTracker smooth general 2D segmenter] that can be used in the applications above and is known to be more resistant to noise and local minima those other active contour methodologies. It can be extended for medical volume segmentation. Our objective is to implement Slicer's extension based on Sobolev active contours algorithm for volume segmentation.
+The Sobolev active contour is a [[Projects:SobolevTracker| smooth general 2D segmenter]] that can be used in the applications above and is known to be more resistant to noise and local minima those other active contour methodologies. It can be extended for medical volume segmentation. Our objective is to implement Slicer's extension based on Sobolev active contours algorithm for volume segmentation.

@@ Line 17: / Line 17: @@
 <h3>Objective</h3>
 General segmentation tools can be used in a wide range of biomedical applications ranging from tumor delineation to the segmentation of the atrial wall. The latter may be used for the atrial fibrillation DBP.
-The Sobolev active contour is a [http://www.na-mic.org/Wiki/index.php/Projects:SobolevTracker|smooth general 2D segmenter] that can be used in the applications above and is known to be more resistant to noise and local minima those other active contour methodologies. It can be extended for medical volume segmentation. Our objective is to implement Slicer's extension based on Sobolev active contours algorithm for volume segmentation.
+The Sobolev active contour is a [http://www.na-mic.org/Wiki/index.php/Projects:SobolevTracker smooth general 2D segmenter] that can be used in the applications above and is known to be more resistant to noise and local minima those other active contour methodologies. It can be extended for medical volume segmentation. Our objective is to implement Slicer's extension based on Sobolev active contours algorithm for volume segmentation.

@@ Line 16: / Line 16: @@
 <h3>Objective</h3>
-General segmentation tools can be used in a wide range of biomedical applications from tumor delineation to segmentation of the atrial wall used in the research on the atrial fibrillation problem.
+General segmentation tools can be used in a wide range of biomedical applications ranging from tumor delineation to the segmentation of the atrial wall. The latter may be used for the atrial fibrillation DBP.
-Sobolev active contour is a [http://www.na-mic.org/Wiki/index.php/Projects:SobolevTracker|smooth general 2D segmenter] that can be used in the applications above. It can be extended for medical volume segmentation. Our objective is to implement Slicer's extension based on Sobolev active contours algorithm for volume segmentation.
+The Sobolev active contour is a [http://www.na-mic.org/Wiki/index.php/Projects:SobolevTracker|smooth general 2D segmenter] that can be used in the applications above and is known to be more resistant to noise and local minima those other active contour methodologies. It can be extended for medical volume segmentation. Our objective is to implement Slicer's extension based on Sobolev active contours algorithm for volume segmentation.

@@ Line 17: / Line 17: @@
 <h3>Objective</h3>
 General segmentation tools can be used in a wide range of biomedical applications from tumor delineation to segmentation of the atrial wall used in the research on the atrial fibrillation problem.
-Sobolev active contour is a smooth general 2D segmenter that can be used in the applications above. It can be extended for medical volume segmentation. Our objective is to implement Slicer's extension based on Sobolev active contours algorithm for volume segmentation.
+Sobolev active contour is a [http://www.na-mic.org/Wiki/index.php/Projects:SobolevTracker|smooth general 2D segmenter] that can be used in the applications above. It can be extended for medical volume segmentation. Our objective is to implement Slicer's extension based on Sobolev active contours algorithm for volume segmentation.

@@ Line 51: / Line 51: @@
 ==References==
-* A. Nakhmani, A. Tannenbaum, "Tracking with Adaptive Sobolev Snakes." Submitted to
+* A. Nakhmani, A. Tannenbaum, "Tracking with Adaptive Sobolev Snakes." Submitted to IEEE Transactions on Image Processing.
-* A. Nakhmani, A. Tannenbaum, "Self-Crossing Detection and Location for Parametric
+* A. Nakhmani, A. Tannenbaum, "Self-Crossing Detection and Location for Parametric Active Contours," IEEE Transactions on Image Processing, DOI:10.1109/TIP.2012.2188808, Volume 21, Issue 7, pp. 3150-3156, July 2012.

@@ Line 2: / Line 2: @@
 <gallery>
 Image:PW-MIT2013.png|[[2013_Summer_Project_Week#Projects|Projects List]]
-Image:genuFAp.jpg|Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
+Image:Sobolev_Segmenter2D.png|The 2D segmentation of tumor by Sobolev active contour.
-Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
+Image:Sobolev_Segmenter3D.png|The 3D segmentation of tumor by Sobolev active contour.
 </gallery>
@@ Line 16: / Line 16: @@
 <h3>Objective</h3>
@@ Line 28: / Line 30: @@
 <h3>Approach, Plan</h3>
 </div>
@@ Line 35: / Line 40: @@
 <h3>Progress</h3>
+Alpha versions of both approaches (C++ Commandline and Python Editor effect) have been prepared.