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

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<gallery>
 
<gallery>
 
Image:PW-MIT2012.png|[[2012_Summer_Project_Week#Projects|Projects List]]
 
Image:PW-MIT2012.png|[[2012_Summer_Project_Week#Projects|Projects List]]
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Image:InitialIK.gif| Initial Alignment.
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Image:PlastimatchIK.gif| Plastimatch registration.
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Image:NiftyIK.gif| NiftyReg registration.
 
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* Georgia Tech: Ivan Kolesov
 
* Georgia Tech: Ivan Kolesov
 
* MGH: Greg Sharp
 
* MGH: Greg Sharp
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* : Yi Gao
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* BWH: Yi Gao
 
* Boston University: Allen Tannenbaum
 
* Boston University: Allen Tannenbaum
 
<div style="margin: 20px;">
 
<div style="margin: 20px;">
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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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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.
  
  
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
  
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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 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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Our plan for the project week is to first try out <bar>,...
 
  
 
</div>
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
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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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</div>
 
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==Delivery Mechanism==
 
==Delivery Mechanism==
  
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This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)
+
This work will be delivered to the NA-MIC Kit as an
  
 
#ITK Module
 
#ITK Module
−
#Slicer Module
 
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##Built-in
 
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##Extension -- commandline
 
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##Extension -- loadable
 
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#Other (Please specify)
 
  
 
==References==
 
==References==
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*Fletcher P, Tao R, Jeong W, Whitaker R. [http://www.na-mic.org/publications/item/view/634 A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI.] Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
 
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* Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. [http://www.na-mic.org/publications/item/view/292 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Med Image Anal. 2006 Oct;10(5):786-98. PMID: 16926104.
 
−
* Corouge I, Fletcher P, Joshi S, Gilmore J, Gerig G. [http://www.na-mic.org/publications/item/view/1122 Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis.] Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9. PMID: 16685838.
 
−
* Goodlett C, Corouge I, Jomier M, Gerig G, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .
 

Latest revision as of 14:04, 22 June 2012

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

  • Initial Alignment.

  • Plastimatch registration.

  • NiftyReg registration.


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

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