Difference between revisions of "Summer2009:VCFS"

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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
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.
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Our approach involves the implementation of a stochastic tractography algorithm in python that can be used both within and outside of the slicer framework.
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Our plan for the project week is to integrate diffusion weighted imaging preprocessing steps to the pipeline in particular:
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* Rician Noise Removal
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* EPI distortion correction
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* Eddy current correction
  
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.
 
* 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.
 
  
 
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Revision as of 19:05, 11 June 2009

Home < Summer2009:VCFS

Key Investigators

  • BWH: Julien de Siebenthal, Sylvain Bouix, Marek Kubicki

Objective

To create an end-to-end analysis pipeline to study white matter anomalies using a stochastic tractography algorithm.

See our Roadmap for more details.

Approach, Plan

Our approach involves the implementation of a stochastic tractography algorithm in python that can be used both within and outside of the slicer framework.

Our plan for the project week is to integrate diffusion weighted imaging preprocessing steps to the pipeline in particular:

  • Rician Noise Removal
  • EPI distortion correction
  • Eddy current correction


Progress


References