Difference between revisions of "2010 Summer Project QSpace Reconstruction for Diffusion Spectrum Imaging Data"

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<h3>Progress</h3>
 
<h3>Progress</h3>
Code is successfully build. Luis lbanez suggested some changes to increseae the performance of the code.
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Code is successfully build on Slicer Framework. Luis lbanez suggested some changes to increase performance of the code.
 
Future direction is to add Fiber Tractography.
 
Future direction is to add Fiber Tractography.
 
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Latest revision as of 14:05, 25 June 2010

Home < 2010 Summer Project QSpace Reconstruction for Diffusion Spectrum Imaging Data

Key Investigators

  • University Of Pittsburgh: Sudhir K Pathak, Fang Cheng Yeh, Walter Schneider
  • GE: Xiaodong Tao
  • BWH: Demian Wasserman

Project

Objective

Implement Generalized QSpace Imaging Reconstruction method which is used to analyze Diffusion Spectrum Imaging data.

Approach, Plan

We will use ITK Filter framework to create a Reconstruction Filter.

Progress

Code is successfully build on Slicer Framework. Luis lbanez suggested some changes to increase performance of the code. Future direction is to add Fiber Tractography.

References

1. Fang-Cheng Yeh, Van J. Wedeen, Wen-Yih Isaac Tseng. “Generalized Q-Sampling Imaging." IEEE TMI, 2010 (in print). 2. Van J. Wedeen, Patric Hagmann, Wen-Yih Isaac Tseng, Timothy G. Reese, Robert M. Weisskoff, Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging, MRM 2005 54:1377–1386.