2013 Summer Project Week:TractAtlasCluster

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  Projects List

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  Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.

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  Regression of FA data; solid line represents the mean and dotted lines the standard deviation.

Instructions for Use of this Template

1. Please create a new wiki page with an appropriate title for your project using the convention 2013_Summer_Project_Week:<Project Name>
2. Copy the entire text of this page into the page created above
3. Link the created page into the list of projects for the project event
4. Delete this section from the created page
5. Send an email to tkapur at bwh.harvard.edu if you are stuck

Key Investigators

• BWH: Lauren O'Donnell
• Utah: Tom Fletcher, Ross Whitaker

Objective

The goal is to work on Slicer integration and user packaging for Python tract atlasing and clustering code.

Approach, Plan

Our python package includes code implementing tract clustering, atlas labeling, registration, and fMRI-DTI modeling as part of the atlas. References are below. Our plan for the project week is to focus on Slicer compatibility and user accessibility of the code.

Progress

Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)

1. ITK Module
2. Slicer Module
   1. Built-in
   2. Extension -- commandline
   3. Extension -- loadable
3. Other (Please specify)

References

• Unbiased Groupwise Registration of White Matter Tractography

LJ O’Donnell, WM Wells III, AJ Golby, CF Westin Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012, 123-130

• fMRI-DTI modeling via landmark distance atlases for prediction and detection of fiber tracts

LJ O'Donnell, L Rigolo, I Norton, WM Wells III, CF Westin, AJ Golby NeuroImage 60 (1), 456-70

• Automatic tractography segmentation using a high-dimensional white matter atlas

LJ O'Donnell, CF Westin Medical Imaging, IEEE Transactions on 26 (11), 1562-1575