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

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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
#:Trying 3dslicer modules
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#:So far have code running in python/vtk
#:for segmentation
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#:Slicer-ification is goal for this week
#:and 3d reconstruction 
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#:Another goal: learn how to make an extension module
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#:Another goal: can this module use testing framework
  
 
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<!-- Fill this out before Friday's summary presentations - list what you did and how well it worked. -->
 
<!-- Fill this out before Friday's summary presentations - list what you did and how well it worked. -->
 
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It worked great
  
 
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==References==
 
==References==
D’Avila A, Scanavacca M, Sosa E, Riskin JN, Reddy VY. Pericardial anatomy for the Interventional Electrophysiologist. J Cardiovasc Electrophysiol 2003;14:422-430
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The fiber laterality histogram: A new way to measure white matter asymmetry
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Lauren J. O'Donnell, Carl-Fredrik Westin, Isaiah Norton, Stephen Whalen, Laura Rigolo, Ruth Propper, and Alexandra J. Golby
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Med Image Comput Comput Assist Interv. 2010; 13(Pt 2): 225-232
  
 
==Delivery Mechanism==
 
==Delivery Mechanism==

Revision as of 03:06, 17 June 2011

Home < 2011 Summer Project Week White Matter Laterality

White Matter Laterality/Asymmetry Measurement

Key Investigators

  • Harvard Medical School: Lauren O'Donnell


Objective

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

Approach, Plan

  1. So far have 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

It worked great

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: