Difference between revisions of "2009 Summer Project Week Lupus Lesion Segmentation"

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Our plan for the project week is to:
 
Our plan for the project week is to:
 
* Work with Steve Pieper to implement the wizard interface to the lesion analysis module to make the segmentation process easier.
 
* Work with Steve Pieper to implement the wizard interface to the lesion analysis module to make the segmentation process easier.
* Integrate the output of the lesion analysis module with change tracker to allow for longitudinal analysis.
 
 
* Refactor the lesion analysis code and integrate it with the Slicer code repository so it is built with Slicer.
 
* Refactor the lesion analysis code and integrate it with the Slicer code repository so it is built with Slicer.
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* Meet with the white matter lesion segmentation group to discuss overlap.
  
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
 
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* Charted the logic of the wizard interface and Steve Pieper produced a prototype.
 
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* Made the lesion segmentation module available as a downloadable extension.  This obviates the need to add the source code to the Slicer repository.
 +
* Met with the white matter lesion segmentation project group to exchange data and discuss methods.
 +
* Updated tutorial reflecting feedback from dissemination core.
 +
* Improved testing coverage of lesion segmentation tools.
 
</div>
 
</div>
 
</div>
 
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Revision as of 13:45, 26 June 2009

Home < 2009 Summer Project Week Lupus Lesion Segmentation

Key Investigators

  • MRN: H. Jeremy Bockholt, Mark Scully
  • Isomics: Steve Pieper

Objective

To create an end-to-end Lupus lesion segmentation and analysis pipeline that can work in both an automated and semi-supervised fashion.

See our Roadmap for more details.

Approach, Plan

Our approach involves the combination of morphometric features with a non-linear classifier in order to capture more of the gestalt properties a human rater uses when segmenting Lupus lesions.

Our plan for the project week is to:

  • Work with Steve Pieper to implement the wizard interface to the lesion analysis module to make the segmentation process easier.
  • Refactor the lesion analysis code and integrate it with the Slicer code repository so it is built with Slicer.
  • Meet with the white matter lesion segmentation group to discuss overlap.

Progress

  • Charted the logic of the wizard interface and Steve Pieper produced a prototype.
  • Made the lesion segmentation module available as a downloadable extension. This obviates the need to add the source code to the Slicer repository.
  • Met with the white matter lesion segmentation project group to exchange data and discuss methods.
  • Updated tutorial reflecting feedback from dissemination core.
  • Improved testing coverage of lesion segmentation tools.

References