Difference between revisions of "2012 Summer Project Week:DifficultRegistration"

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==Key Investigators==
 
==Key Investigators==
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* UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
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* Erasmus Medical Center: Stefan Klein
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* Utah: Tom Fletcher, Ross Whitaker
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* University College London: Marc Modat
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* UNC: Aditya Gupta, Martin Styner
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* BWH: Matthew Toews, William Wells
  
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
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We are developing methods for analyzing diffusion tensor data along fiber tracts. The goal is to be able to make statistical group comparisons with fiber tracts as a common reference frame for comparison.
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The object will be to identify solutions to difficult image registration problems that challenge the limits of current technology. Difficult aspects include (but are not limited to):
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- inter-subject registration
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- truncation, missing tissue
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- unknown initialization (orientation, translation)
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- inter-species registration
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- articulated deformation
  
  

Revision as of 18:24, 21 May 2012

Home < 2012 Summer Project Week:DifficultRegistration

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

  • 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 2012_Winter_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

  • Erasmus Medical Center: Stefan Klein
  • University College London: Marc Modat
  • UNC: Aditya Gupta, Martin Styner
  • BWH: Matthew Toews, William Wells

Objective

The object will be to identify solutions to difficult image registration problems that challenge the limits of current technology. Difficult aspects include (but are not limited to): - inter-subject registration - truncation, missing tissue - unknown initialization (orientation, translation) - inter-species registration - articulated deformation


Approach, Plan

Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below. The main challenge to this approach is <foo>.

Our plan for the project week is to first try out <bar>,...

Progress

Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the DTI Software Infrastructure project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.


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

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