Difference between revisions of "2011 Summer Project Week Customizing EMSegmenter pipelines for brain lesions"

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<!-- What specific things you will be doing during the week: writing code?  trying code on specific datasets?  talking with other attendees?  All of the above? -->
 
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We want to use the EMSegmenter modle for this project. The plan is to create a two channel pipeline which includes pre-processing (e.g. registration) and applying the EM algorithm to perform the segmentation.
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We want to use the EMSegmenter module for this project. The plan is to create a two channel pipeline which includes pre-processing (e.g. registration) and applying the EM algorithm to perform the segmentation.
  
 
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We created a 2 channnel(T1+FLAIR) pipeline for this project. Intensity values of the lesions are calculated automatic but have to manually updated to get a better result.
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<b>(see segmentation screenshot)</b>
  
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Open: With this approach we detect a lot of false positives outside the white matter region.
  
 
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==References==
 
==References==
http://www.slicer.org/slicerWiki/index.php/EMSegmenter-Tasks <br>
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Image:EMS_LesionExp_Segmentation.png | Segmentation result
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Image:EMS LesionExp FLAIR.png | FLAIR scan
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Image:EMS LesionExp T1.png | T1 scan
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https://www.slicer.org/wiki/EMSegmenter-Tasks <br>
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This work will be delivered to the NAMIC Kit as a
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This work will be delivered to the NAMIC Kit as part of the EMSegmenter module.
 
 
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Latest revision as of 18:07, 10 July 2017

Home < 2011 Summer Project Week Customizing EMSegmenter pipelines for brain lesions

Customizing EMSegmenter pipelines for brain lesions

Key Investigators

  • University of Pennsylvania: Dominique Belhachemi
  • University of Pennsylvania: Kilian Pohl
  • Brigham and Women's Hospital: Alex Zaitsev


Objective

The goal is to segment white matter lesions based on T1 and FLAIR brain scans.

Approach, Plan

We want to use the EMSegmenter module for this project. The plan is to create a two channel pipeline which includes pre-processing (e.g. registration) and applying the EM algorithm to perform the segmentation.

Progress

We created a 2 channnel(T1+FLAIR) pipeline for this project. Intensity values of the lesions are calculated automatic but have to manually updated to get a better result. (see segmentation screenshot)

Open: With this approach we detect a lot of false positives outside the white matter region.

References

https://www.slicer.org/wiki/EMSegmenter-Tasks


Delivery Mechanism

This work will be delivered to the NAMIC Kit as part of the EMSegmenter module.