Difference between revisions of "Projects:DTIQuantitativeTractAnalysis"

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  Back to [[NA-MIC_Collaborations|NA-MIC Collaborations]], [[Algorithm:UNC|UNC Algorithms]]
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  Back to [[NA-MIC_Internal_Collaborations:DiffusionImageAnalysis|NA-MIC Collaborations]], [[Algorithm:UNC|UNC Algorithms]]
 
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= DTI Quantitative Tract Analysis =
 
= DTI Quantitative Tract Analysis =
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= Publications =
 
= Publications =
[http://www.na-mic.org/Special:Publications?text=Projects:DTIQuantitativeTractAnalysis&submit=Search&keywords=checked NA-MIC Publications Database]
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* [http://www.na-mic.org/pages/Special:Publications?text=Projects%3ADTIQuantitativeTractAnalysis&submit=Search&words=all&title=checked&keywords=checked&authors=checked&abstract=checked&sponsors=checked&searchbytag=checked| NA-MIC Publications Database]
  
 
= Key Investigators =
 
= Key Investigators =
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  Project Week Results: [[media:namic-tractanalysis.ppt|Jun 2005]]
 
  Project Week Results: [[media:namic-tractanalysis.ppt|Jun 2005]]
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[[Category: Statistics]] [[Category:Diffusion MRI]]

Latest revision as of 18:19, 11 April 2008

Home < Projects:DTIQuantitativeTractAnalysis
Back to NA-MIC Collaborations, UNC Algorithms

DTI Quantitative Tract Analysis

This project proposes a framework for quantitative analysis of DTI data. The framework uses the full tensor information for statistical analysis using the affine-invariant Riemannian metric for defining operations such as interpolation and averaging on tensors. Furtheremore, the results of tractography are used to provide a reference coordinate system the respresents the underlying structure of fiber bundles. The tract modeling framework includes a model both of the geometry of the fiber bundle and of the diffusion properties along the bundle. A new anisotropy measure called geodesic anisotropy (GA) is also included in the framework.

Description

Fiber tracts colored with FA attributes

Corouge-tract-analysis-flowchart.jpg

Publications

Key Investigators

  • UNC Algorithms: Isabelle Corouge, Casey Goodlett, Guido Gerig

Links

Project Week Results: Jun 2005