Difference between revisions of "Projects:TubularSurfaceSegmentationPopStudy"

From NAMIC Wiki
Jump to: navigation, search
Line 11: Line 11:
  
 
Georgia Tech: Allen Tannenbaum, Vandana Mohan
 
Georgia Tech: Allen Tannenbaum, Vandana Mohan
 +
 
BWH: Marek Kubicki
 
BWH: Marek Kubicki
  
Line 16: Line 17:
 
''In Print''
 
''In Print''
 
* [http://www.na-mic.org/publications/pages/display?search=Projects%3ADWIReorientation&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database]
 
* [http://www.na-mic.org/publications/pages/display?search=Projects%3ADWIReorientation&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database]
 +
 +
== Some Results
 +
The results below show the visualization of t-statistics with respect to the extracted features, with discrimination ability increasing from green to red. This demonstrates the ability of the framework to visualize the role of different regions of the fiber bundle in Schizophrenia.
 +
* [[Image:GT-PopStudyVis_OnCBs_Case19-View1.jpg | Visualization of T-statistics on Cingulum Bundle surface (View 1)| 300px]] Visualization of T-statistics on Cingulum Bundle surface (View 1)
 +
* [[Image:GT-PopStudyVis_OnCBs_Case19-View2.jpg | Visualization of T-statistics on Cingulum Bundle surface (View 2)| 300px]] Visualization of T-statistics on Cingulum Bundle surface (View 2)
  
 
[[Category: MRI]]
 
[[Category: MRI]]

Revision as of 01:21, 30 September 2009

Home < Projects:TubularSurfaceSegmentationPopStudy
Back to Georgia Tech Algorithms

Group study using the Tubular Surface model

Description

We have proposed a new framework for performing group studies on DW-MRI data using the Tubular Surface Model to study white-matter properties. We show that the model facilitates population studies by the natural registration that occurs by the sampling of WM properties along the fiber bundles center-lines. Further, by allowing us to characterize the discrimination ability of local regions of the fiber bundles, the framework allows us to identify the regions that are "affected" by the disorder under study. In our experiments, we have applied the framework to study the Cingulum Bundle towards discriminating Schizophrenia.


Key Investigators

Georgia Tech: Allen Tannenbaum, Vandana Mohan

BWH: Marek Kubicki

Publications

In Print

== Some Results The results below show the visualization of t-statistics with respect to the extracted features, with discrimination ability increasing from green to red. This demonstrates the ability of the framework to visualize the role of different regions of the fiber bundle in Schizophrenia.

  • Visualization of T-statistics on Cingulum Bundle surface (View 1) Visualization of T-statistics on Cingulum Bundle surface (View 1)
  • Visualization of T-statistics on Cingulum Bundle surface (View 2) Visualization of T-statistics on Cingulum Bundle surface (View 2)