Difference between revisions of "2009 Summer Project Week TubularSurfaceSeg"

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Image:PW2009-v3.png|[[2009_Summer_Project_Week#Projects|Projects List]]
 
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<h3>Objective</h3>
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<h3>Objectives</h3>
To integrate the Tubular Surface Segmentation into Slicer3, and test it on Cingulum Bundle.
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* To integrate the Tubular Surface Segmentation into Slicer3, and test it on Cingulum Bundle.
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* To evaluate the model's performance in population studies.
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* The tubular surface segmentation has been proposed to extract tubular anatomical structures from medical imagery.
 
* The tubular surface segmentation has been proposed to extract tubular anatomical structures from medical imagery.
 
* We will be integrating the framework into Slicer3 and testing it on DWI data for Cingulum Bundle Segmentation.
 
* We will be integrating the framework into Slicer3 and testing it on DWI data for Cingulum Bundle Segmentation.
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* We will be working with clinical collaborators to interpret the population study results using the model.
  
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
 
* The framework has been implemented and tested successfully in MATLAB (with mexed C code).
 
* The framework has been implemented and tested successfully in MATLAB (with mexed C code).
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* Module is under integration into Slicer (we have identified and are addressing some issues.)
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* Worked on understanding and representation of population analysis results.
  
 
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Latest revision as of 13:44, 26 June 2009

Home < 2009 Summer Project Week TubularSurfaceSeg


Key Investigators

  • Georgia Tech: Vandana Mohan, Allen Tannenbaum
  • BWH: Marek Kubicki, Doug Terry


Objectives

  • To integrate the Tubular Surface Segmentation into Slicer3, and test it on Cingulum Bundle.
  • To evaluate the model's performance in population studies.


Approach, Plan

  • The tubular surface segmentation has been proposed to extract tubular anatomical structures from medical imagery.
  • We will be integrating the framework into Slicer3 and testing it on DWI data for Cingulum Bundle Segmentation.
  • We will be working with clinical collaborators to interpret the population study results using the model.

Progress

  • The framework has been implemented and tested successfully in MATLAB (with mexed C code).
  • Module is under integration into Slicer (we have identified and are addressing some issues.)
  • Worked on understanding and representation of population analysis results.