Difference between revisions of "Summer2009:VCFS"

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<h3>Objective</h3>
 
<h3>Objective</h3>
To create an end-to-end analysis pipeline to study white matter anomalies using a stochastic tractography algorithm.
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To create an end-to-end analysis pipeline to study white matter anomalies using a stochastic tractography algorithm in VCFS population.
  
 
See our [[DBP2:Harvard:Brain_Segmentation_Roadmap| Roadmap]] for more details.
 
See our [[DBP2:Harvard:Brain_Segmentation_Roadmap| Roadmap]] for more details.
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* Eddy current correction
 
* Eddy current correction
  
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We will also be testing pipeline on VCFS population, now that we have enough subjects to start a study and some encouraging gray matter segmentation results.
  
 
</div>
 
</div>

Revision as of 18:59, 17 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 in VCFS population.

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

We will also be testing pipeline on VCFS population, now that we have enough subjects to start a study and some encouraging gray matter segmentation results.

Progress


References