Difference between revisions of "ProjectWeek200706:LesionClassificationInLupus"

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<h1>Progress</h1>
 
<h1>Progress</h1>
  
* Provided Kilian Pohl an example anonymous demo case with raw t1, t2, and flair, and coregister t1, t2, flair and manual lesions.  
+
* Provided Kilian Pohl an example anonymous demo case with raw t1, t2, and flair, and coregistered t1, t2, flair and manually traced lesion images.  
 
* Mark Scully has installed current Slicer3 and run the EMSegment tutorial with tutorial data
 
* Mark Scully has installed current Slicer3 and run the EMSegment tutorial with tutorial data
 
* We are currently struggling with trying to get the EMSegment module to work on the lupus sample data set
 
* We are currently struggling with trying to get the EMSegment module to work on the lupus sample data set
* Need to provide Brad Davis the same example as mentioned above
+
* '''Need''' to provide Brad Davis the same example as mentioned above
* Need to work with Vince Magnotta to run sample dataset in BRAINS/lesion method
+
* '''Need''' to work with Vince Magnotta to run sample dataset in BRAINS/lesion method
* Need to share data with Guido and/or get the UNC tools to apply that approach on sample data set.
+
* '''Need''' to share data with Guido and/or get the UNC tools to apply that approach on sample data set.
  
 
</div>
 
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Revision as of 15:40, 27 June 2007

Home < ProjectWeek200706:LesionClassificationInLupus
Lupus.png

Key Investigators

  • MIND/UNM: Jeremy Bockholt, Mark Scully
  • MGH:Bruce Fischl
  • UIowa: Vincent Magnotta

Objective

Our goal is to automatically, or with little or no manual human rater input, accurately tissue classify our example lupus data-set into gray, white, csf, and lesion classes.

Approach, Plan

Our approach is to utilize existing automatic lesion classification techniques, both within NA-MIC kit and external to it.

Our plan for the project week is to learn and use EMSegment (S. Wells), BRAINS2 (V. Magnotta), and Constructing Image Graphs for Lesion Segmention (M. Prastawa). We will learn and begin to compare and contrast these approaches with a bronze standard (manual rater tracings) of lesions.

Progress

  • Provided Kilian Pohl an example anonymous demo case with raw t1, t2, and flair, and coregistered t1, t2, flair and manually traced lesion images.
  • Mark Scully has installed current Slicer3 and run the EMSegment tutorial with tutorial data
  • We are currently struggling with trying to get the EMSegment module to work on the lupus sample data set
  • Need to provide Brad Davis the same example as mentioned above
  • Need to work with Vince Magnotta to run sample dataset in BRAINS/lesion method
  • Need to share data with Guido and/or get the UNC tools to apply that approach on sample data set.



References

Additional Information

Using an exemplar case that has already been processed using non-NAMIC kit tools:

  1. Use existing NA-MIC kit to coregister T1, T2, Flair
  2. Use the EM Segment in slicer 2-3.X to classify grey, white, csf, and white matter lesion
  3. Summarize the volume and location of lesions