Difference between revisions of "Projects/Structural/2007 Project Week Nonrigid Groupwise Registration"

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<h1>Objective</h1>
 
<h1>Objective</h1>
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We are developing methods for groupwise registration of medical images.
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Our objective is to bring a collection of images into joint alignment.
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The goal is to simultaneously register a collection of images.
 
  
  
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<h1>Approach, Plan</h1>
 
<h1>Approach, Plan</h1>
  
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Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below.  The main challenge to this approach is <foo>.
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We implemented a non-rigid groupwise registration method using sum of pixelwise entropies
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as a joint alignment criterion.
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We extended ITK's pairwise registration classes to include groupwise registration methods.
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The provide an efficient implementation of the objective function using a parallel implementation.
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We have chosen B-splines as our non-rigid deformation model and optimized ITK's B-Spline implementation.
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Our plan is to incorporate our implementation into ITK and to provide test cases for validation.
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Our plan for the project week is to first try out <bar>,...
 
 
</div>
 
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<h1>Progress</h1>
 
<h1>Progress</h1>
  
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Preparations: develop EMSegment command line executable (DONE), add intensity normalization to module (Done)
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The code is submitted to ITK repositories(DONE).
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Submission to Insight Journal.
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<br style="clear: both;" />
 
  
 
</div>
 
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===References===
 
===References===
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* [http://na-mic.org/Wiki/index.php/DBP:Harvard:Software:Testing:EMABC_Validation Slicer2 Validation Page]
 

Revision as of 02:08, 25 June 2007

Home < Projects < Structural < 2007 Project Week Nonrigid Groupwise Registration

Key Investigators

  • MIT: Serdar K Balci, Polina Golland
  • Kitware: Luis Ibanez

Objective

Our objective is to bring a collection of images into joint alignment.


Approach, Plan

We implemented a non-rigid groupwise registration method using sum of pixelwise entropies as a joint alignment criterion. We extended ITK's pairwise registration classes to include groupwise registration methods. The provide an efficient implementation of the objective function using a parallel implementation. We have chosen B-splines as our non-rigid deformation model and optimized ITK's B-Spline implementation.

Our plan is to incorporate our implementation into ITK and to provide test cases for validation.



Progress

The code is submitted to ITK repositories(DONE). Submission to Insight Journal.


References

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