Difference between revisions of "2009 Summer Project Week 4D Imaging"

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Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
 
Image:genuFA.jpg|Regression of FA data; solid line represents the mean and dotted lines the standard deviation.
 
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==Instructions for Use of this Template==
 
#Please create a new wiki page with an appropriate title for your project using the convention Project/<Project Name>
 
#Copy the entire text of this page into the page created above
 
#Link the created page into the list of projects for the project event
 
#Delete this section from the created page
 
#Send an email to tkapur at bwh.harvard.edu if you are stuck
 
  
 
==Key Investigators==
 
==Key Investigators==
* UNC: Isabelle Corouge, Casey Goodlett, Guido Gerig
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* BWH: Junichi Tokuda, Wendy Plesniak, Nobuhiko Hata
* Utah: Tom Fletcher, Ross Whitaker
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* VT-WFU:Craig A. Hamilton
  
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
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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Create a mechanism to handle 4D images in 3D Slicer for perfusion analysis, cardiac, etc.  
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
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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See [[Slicer3:FourDAnalysis]]
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Our plan for the project week is to first try out <bar>,...
 
Our plan for the project week is to first try out <bar>,...

Revision as of 17:58, 1 June 2009

Home < 2009 Summer Project Week 4D Imaging

Key Investigators

  • BWH: Junichi Tokuda, Wendy Plesniak, Nobuhiko Hata
  • VT-WFU:Craig A. Hamilton

Objective

Create a mechanism to handle 4D images in 3D Slicer for perfusion analysis, cardiac, etc.


Approach, Plan

See Slicer3:FourDAnalysis


Our plan for the project week is to first try out <bar>,...

Progress

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 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.


References