Difference between revisions of "Project Week/Template"

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<h3>Approach, Plan</h3>
 
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The method  
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The method is described in detail in the reference below. To compute the costs map we use the Fast Sweeping algorithm: upon convergence, this method provides the minimum cost at each image voxel together with the direction such cost was reached from. Thus, the "backtracing" of these directions from a given point to the seeding point/region provides the minimum cost path.
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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Revision as of 21:18, 16 June 2011

Home < Project Week < Template

Instructions for Use of this Template

  1. Please create a new wiki page with an appropriate title for your project using the convention Project/<Project Name>
  2. Copy the entire text of this page into the page created above
  3. Link the created page into the list of projects for the project event
  4. Delete this section from the created page
  5. Send an email to tkapur at bwh.harvard.edu if you are stuck

Key Investigators

  • BWH: Antonio Tristán-Vega, Demian Wasserman, Carl-Fredrik Westin

Objective

In the last project week we delivered an implementation of the Finsler method to compute the connectivity among regions in the white matter through High Angular Resolution Diffusion Imaging. Such method provides a costs map from a given seeding point/region to any other point within the brain. The aim in this project is tracing the minimum cost paths between two given regions in the white matter, which will in turn provide the desired streamlines.



Approach, Plan

The method is described in detail in the reference below. To compute the costs map we use the Fast Sweeping algorithm: upon convergence, this method provides the minimum cost at each image voxel together with the direction such cost was reached from. Thus, the "backtracing" of these directions from a given point to the seeding point/region provides the minimum cost path.

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.


Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a Slicer Module

References