2009 Summer Project Week WML SEgmentation - Revision history

Medcomparts: /* References */

2009-08-13T14:45:10Z

References

Medcomparts: /* References */

2009-08-13T14:44:56Z

References

Medcomparts: /* Key Investigators */

2009-07-20T10:38:06Z

Key Investigators

Medcomparts: /* Key Investigators */

2009-07-20T10:37:19Z

Key Investigators

Mjkim at 03:21, 26 June 2009

2009-06-26T03:21:02Z

Mjkim at 20:15, 25 June 2009

2009-06-25T20:15:32Z

Mjkim at 19:12, 25 June 2009

2009-06-25T19:12:08Z

Tkapur at 01:56, 22 June 2009

2009-06-22T01:56:44Z

Taox: /* Key Investigators */

2009-06-14T11:56:00Z

Key Investigators

Taox: Created page with 'NOTOC Image:PW2009-v3.png | . Image:UNCWMLSegmentation.png|One training dataset (T1, T2, PD, FLAIR images and wml segmentation. ==Key Investigators== * ...'

2009-06-09T19:54:34Z

Created page with '__NOTOC__ <gallery> Image:PW2009-v3.png | . Image:UNCWMLSegmentation.png|One training dataset (T1, T2, PD, FLAIR images and wml segmentation. </gallery> ==Key Investigators== * ...'

New page

__NOTOC__
<gallery>
Image:PW2009-v3.png | .
Image:UNCWMLSegmentation.png|One training dataset (T1, T2, PD, FLAIR images and wml segmentation.
</gallery>

==Key Investigators==
* UNC: Minjeong Kim
* GE : Xiaodong Tao, Jim Miller

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

<h3>Objective</h3>
We will continue developping and testing the white matter lesion segmentation algorithm implemented using ITK. The goal is to have an initial version ready by the end of the week that can be distributed within NA-MIC community for more extensive testing.

</div>

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

<h3>Approach, Plan</h3>
We will develop a Slicer module for the white matter lesion segmentation algorithm. Base line results and test will be generated.

</div>

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

<h3>Progress</h3>
Since winter project week in Utah, we have developed/implemented WML segmentation algorithm using ITK classes. Subtasks implemented includes: 1. a skull stripping algorithm working on T1 weighted images; 2. a fuzzy clustering algorithm for tissue segmentation; 3. a parametric modle for gain field correction. All these are implemented using ITK. The training step uses AdaBoost and the segmenation step uses a support vector machine.

</div>
</div>

==References==
* Zhiqiang Lao, Dinggang Shen, Dengfeng Liu, Abbas F Jawad, Elias R Melhem, Lenore J Launer, Nick R Bryan, Christos Davatzikos, [http://www.med.unc.edu/~dgshen/papers/WMlesionSegmentation.pdf Computer-Assisted Segmentation of White Matter Lesions in 3D MR images, Using Pattern Recognition], Academic Radiology, 15(3):300-313, March 2008.

@@ Line 37: / Line 37: @@
 ==References==
 * Zhiqiang Lao, Dinggang Shen, Dengfeng Liu, Abbas F Jawad, Elias R Melhem, Lenore J Launer, Nick R Bryan, Christos Davatzikos, Computer-Assisted Segmentation of White Matter Lesions in 3D MR images, Using Pattern Recognition, Academic Radiology, 15(3):300-313, March 2008.
-[http:/www.academicradiology.org/article/S1076-6332(07)00583-1/abstract]
+[http://www.academicradiology.org/article/S1076-6332(07)00583-1/abstract]

← Older revision		Revision as of 14:44, 13 August 2009
Line 36:		Line 36:

	==References==		==References==
−	* Zhiqiang Lao, Dinggang Shen, Dengfeng Liu, Abbas F Jawad, Elias R Melhem, Lenore J Launer, Nick R Bryan, Christos Davatzikos, ~~[http://www.med.unc.edu/~dgshen/papers/WMlesionSegmentation.pdf~~ Computer-Assisted Segmentation of White Matter Lesions in 3D MR images, Using Pattern Recognition], Academic Radiology, 15(3):300-313, March 2008.	+	* Zhiqiang Lao, Dinggang Shen, Dengfeng Liu, Abbas F Jawad, Elias R Melhem, Lenore J Launer, Nick R Bryan, Christos Davatzikos, Computer-Assisted Segmentation of White Matter Lesions in 3D MR images, Using Pattern Recognition, Academic Radiology, 15(3):300-313, March 2008.
		+	[http:/www.academicradiology.org/article/S1076-6332(07)00583-1/abstract]

@@ Line 30: / Line 30: @@
 <h3>Progress</h3>
-Since winter project week in Utah, we have developed/implemented a WML segmentation algorithm using ITK classes. Subtasks implemented include: (1) a skull stripping algorithm working on T1 weighted images; (2) a fuzzy clustering algorithm for tissue segmentation; (3) a parametric model for gain field correction. All these subtasks are implemented by using ITK. The training step uses AdaBoost and the segmenation step uses a support vector machine.
+Since winter project week in Utah, we have developed/implemented a WML segmentation algorithm using ITK classes. Subtasks implemented include: (1) a skull stripping algorithm working on T1 weighted images; (2) a fuzzy clustering algorithm for tissue segmentation; (3) a parametric model for gain field correction. All of these subtasks are implemented by using ITK. The training step uses AdaBoost and the segmenation step uses a support vector machine.
 </div>

@@ Line 2: / Line 2: @@
 <gallery>
 Image:PW2009-v3.png|[[2009_Summer_Project_Week#Projects|Projects List]]
 Image:UNCWMLSegmentation.png|One training dataset (T1, T2, PD, FLAIR images and wml segmentation)
 Image:itk_wmls.png| One testing dataset and segmentation result

@@ Line 3: / Line 3: @@
 Image:PW2009-v3.png|[[2009_Summer_Project_Week#Projects|Projects List]]
 Image:UNCWMLSegmentation.png|One training dataset (T1, T2, PD, FLAIR images and wml segmentation)
-Image:itk_wmls.png| WML segmentation result
+Image:itk_wmls.png| One testing dataset and segmentation result
 </gallery>

@@ Line 16: / Line 16: @@
 <h3>Objective</h3>
-We will continue developping and testing the white matter lesion segmentation algorithm implemented using ITK. The goal is to have an initial version ready by the end of the week that can be distributed within NA-MIC community for more extensive testing.
+We will continue developing and testing the white matter lesion segmentation algorithm implemented using ITK. The goal is to have an initial version ready by the end of the week that can be distributed within NA-MIC community for more extensive testing.
 </div>
@@ Line 30: / Line 30: @@
 <h3>Progress</h3>
-Since winter project week in Utah, we have developed/implemented WML segmentation algorithm using ITK classes. Subtasks implemented includes: 1. a skull stripping algorithm working on T1 weighted images; 2. a fuzzy clustering algorithm for tissue segmentation; 3. a parametric modle for gain field correction. All these are implemented using ITK. The training step uses AdaBoost and the segmenation step uses a support vector machine.
+Since winter project week in Utah, we have developed/implemented a WML segmentation algorithm using ITK classes. Subtasks implemented include: (1) a skull stripping algorithm working on T1 weighted images; (2) a fuzzy clustering algorithm for tissue segmentation; (3) a parametric model for gain field correction. All these subtasks are implemented by using ITK. The training step uses AdaBoost and the segmenation step uses a support vector machine.
 </div>

@@ Line 1: / Line 1: @@
 __NOTOC__
 <gallery>
-Image:PW2009-v3.png | .
+Image:PW2009-v3.png|[[2009_Summer_Project_Week#Projects|Projects List]]
-Image:UNCWMLSegmentation.png|One training dataset (T1, T2, PD, FLAIR images and wml segmentation.
+Image:UNCWMLSegmentation.png|One training dataset (T1, T2, PD, FLAIR images and wml segmentation)
 </gallery>
 ==Key Investigators==

@@ Line 6: / Line 6: @@
 ==Key Investigators==
-* UNC: Minjeong Kim
+* UNC: Minjeong Kim, Dinggang Shen
 * GE : Xiaodong Tao, Jim Miller
@@ Line 31: / Line 31: @@
 </div>
 </div>
 ==References==
 * Zhiqiang Lao, Dinggang Shen, Dengfeng Liu, Abbas F Jawad, Elias R Melhem, Lenore J Launer, Nick R Bryan, Christos Davatzikos, [http://www.med.unc.edu/~dgshen/papers/WMlesionSegmentation.pdf Computer-Assisted Segmentation of White Matter Lesions in 3D MR images, Using Pattern Recognition], Academic Radiology, 15(3):300-313, March 2008.

2009 Summer Project Week WML SEgmentation - Revision history

Medcomparts: /* References */

Medcomparts: /* References */

Medcomparts: /* Key Investigators */

Medcomparts: /* Key Investigators */

Mjkim at 03:21, 26 June 2009

Mjkim at 20:15, 25 June 2009

Mjkim at 19:12, 25 June 2009

Tkapur at 01:56, 22 June 2009

Taox: /* Key Investigators */

Taox: Created page with '__NOTOC__ Image:PW2009-v3.png | . Image:UNCWMLSegmentation.png|One training dataset (T1, T2, PD, FLAIR images and wml segmentation. ==Key Investigators== * ...'

Taox: Created page with 'NOTOC Image:PW2009-v3.png | . Image:UNCWMLSegmentation.png|One training dataset (T1, T2, PD, FLAIR images and wml segmentation. ==Key Investigators== * ...'