Difference between revisions of "2011 Summer Project Week White Matter Laterality"

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* Harvard Medical School: Lauren O'Donnell
 
* Harvard Medical School: Lauren O'Donnell
 
* Kitware: JC (Thanks for help on how to integrate as a Slicer4 module/extension)
 
* Kitware: JC (Thanks for help on how to integrate as a Slicer4 module/extension)
* arvard Medical School: Sandy Wells (Thanks for helpful discussions on angle representation and objective functions for registration)
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* Harvard Medical School: Sandy Wells (Thanks for helpful discussions on angle representation and objective functions for registration)
  
 
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Latest revision as of 14:58, 24 June 2011

Home < 2011 Summer Project Week White Matter Laterality

White Matter Laterality/Asymmetry Measurement

Key Investigators

  • Harvard Medical School: Lauren O'Donnell
  • Kitware: JC (Thanks for help on how to integrate as a Slicer4 module/extension)
  • Harvard Medical School: Sandy Wells (Thanks for helpful discussions on angle representation and objective functions for registration)

Objective

  1. Fast computation of white matter
    fiber tract laterality indices
    in python and ... Slicer4

Approach, Plan

  1. So far have preliminary code running in python/vtk
    Slicer-ification is goal for this week
    Another goal: learn how to make an extension module
    Another goal: can this module use testing framework

Progress

  1. Project is now organized as a python package
    Command line script written to run on large groups
    Initial testing on R/L handedness group data showed significant differences
    Preprocessing and midsagittal alignment have been implemented


References

The fiber laterality histogram: A new way to measure white matter asymmetry. Lauren J. O'Donnell, Carl-Fredrik Westin, Isaiah Norton, Stephen Whalen, Laura Rigolo, Ruth Propper, and Alexandra J. Golby Med Image Comput Comput Assist Interv. 2010; 13(Pt 2): 225-232

Delivery Mechanism

This work will be delivered to the NAMIC Kit as a

  1. NITRIC distribution
  2. Slicer Module
    1. Built-in:
    2. Extension -- commandline:
    3. Extension -- loadable: