Difference between revisions of "2012 Summer Project Week:Deformable Registration for Head and Neck"

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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
  
We will apply state-of-the art deformable registration methods () to this problem. The results will be used to understand if this problem can be solved with existing methods/what unsolved questions exist and which scenarios should be used in a test suite for comparing the above mentioned approaches.   
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We will apply state-of-the art deformable registration methods (elastix toolbox, SyN, ART, FNIRT) to this problem. The results will be used to understand if this problem can be solved with existing methods/what unsolved questions exist and which scenarios should be used in a test suite for comparing the above mentioned approaches.   
  
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
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 [[NA-MIC/Projects/Diffusion_Image_Analysis/DTI_Software_and_Algorithm_Infrastructure|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.
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We have prepared typical registration scenarios of interest.
 
 
  
 
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Revision as of 19:25, 3 June 2012

Home < 2012 Summer Project Week:Deformable Registration for Head and Neck


Key Investigators

  • Georgia Tech: Ivan Kolesov
  • MGH: Greg Sharp
  • BWH: Yi Gao
  • Boston University: Allen Tannenbaum

Objective

We are developing a method for full body (entire head and neck region), deformable, inter-patient registration for CT volumes. This problem is difficult because after rigid alignment is performed, large deformations are still present.




Approach, Plan

We will apply state-of-the art deformable registration methods (elastix toolbox, SyN, ART, FNIRT) to this problem. The results will be used to understand if this problem can be solved with existing methods/what unsolved questions exist and which scenarios should be used in a test suite for comparing the above mentioned approaches.

Progress

We have prepared typical registration scenarios of interest.

Delivery Mechanism

This work will be delivered to the NA-MIC Kit as an

  1. ITK Module

References