Difference between revisions of "2012 Winter Project Week:TBIRegistration"

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<h3>Objective</h3>
 
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* We are developing methods for segmenting the endocardium from the DE-MRI.  The current proposed method is a multi-atlas based registration approach.  The user is presented with a weighted average of all registered atlas segmentations.  The final LA segmentation is a thresholded volume from this weighted average.  Weighting is based on the accuracy of the registration, as determined by a mutual information metric.
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* Design a registration algorithm that can deal with topological changes for TBI patients.  
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* There is a prototype module developed by Yi that is currently in Slicer.  We propose to expand and tweak this module to specifications determined by our experience using the algorithm on many real patient datasets.
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* Design metrics to quantify the degree of changes of TBI 
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* We will also discuss posssible collaborative paper ideas based on this work.
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Revision as of 04:14, 19 November 2011

Home < 2012 Winter Project Week:TBIRegistration

Key Investigators

  • Georgia Tech: Yifei Lou and Patricio Vela
  • Boston University: Allen Tannenbaum
  • UCLA: Andrei Irimia, Micah C. Chambers, Jack Van Horn and Paul M. Vespa

Objective

  • Design a registration algorithm that can deal with topological changes for TBI patients.
  • Design metrics to quantify the degree of changes of TBI


Approach, Plan

Approach to be filled here.

Progress

The current segmentation module is in the Slicer extension manager.

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. Slicer Module
    1. Extension -- commandline

References

1. Yifei Lou, Andrei Irimia, Patricio Vela, Allen Tannenbaum, Micah C. Chambers, Jack Van Horn and Paul M. Vespa. Multimodal Deformable Registration of Traumatic Brain Injury MR Volumes using Graphics Processing Units. Submitted to IEEE Trans. on Medical Imaging. 2011

2. Yifei Lou and Allen Tannenbaum. Multimodal Deformable Image Registration via the Bhattacharyya Distance. Submitted to IEEE Trans. Image Process. 2011

3. Yifei Lou, Xun Jia, Xuejun Gu and Allen Tannenbaum. A GPU-based Implementation of Multimodal Deformable Image Registration Based on Mutual Information or Bhattacharyya Distance. Insight Journal, 2011. [1]

4. E. D’Agostino, F. Maes, D. Vandermeulen, and P. Suetens. A viscous fluid model for multimodal non-rigid image registration using mutual information,” MICCAI, 2002, pp. 541–548

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