Difference between revisions of "NA-MIC/Projects/Collaboration/SARP phantom"

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(New page: {| |thumb|320px|Return to [[2008_Summer_Project_Week|Project Week Main Page ]] |[[Image:genuFAp.jpg|thumb|320px|Scatter plot of the original FA data through ...)
 
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===Key Investigators===
 
===Key Investigators===
* UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
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* U. of Iowa: Eric Hoffman, Janice Cook Granroth, Keith Gunderson
* Utah: Tom Fletcher, Ross Whitaker
 
  
  
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<h1>Objective</h1>
 
<h1>Objective</h1>
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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<h1>Approach, Plan</h1>
 
<h1>Approach, Plan</h1>
  
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>,...
 
 
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<h1>Progress</h1>
 
<h1>Progress</h1>
  
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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Revision as of 17:11, 29 May 2008

Home < NA-MIC < Projects < Collaboration < SARP phantom
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.



Key Investigators

  • U. of Iowa: Eric Hoffman, Janice Cook Granroth, Keith Gunderson


Objective


Approach, Plan


Progress




References