Difference between revisions of "Projects:DTIQuantitativeTractAnalysis"

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Back to [[NA-MIC_Internal_Collaborations:DiffusionImageAnalysis|NA-MIC Collaborations]], [[Algorithm:UNC|UNC Algorithms]]
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__NOTOC__
 
= DTI Quantitative Tract Analysis =
 
= DTI Quantitative Tract Analysis =
 
Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
 
 
'''Objectives'''
 
  
 
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.
 
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.
  
'''Progress'''
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= Description =
  
 
[[image:corouge_dti_statistics.jpg|thumb|320px|Fiber tracts colored with FA attributes]]
 
[[image:corouge_dti_statistics.jpg|thumb|320px|Fiber tracts colored with FA attributes]]
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[[image:corouge-tract-analysis-flowchart.jpg|550px]]
 
[[image:corouge-tract-analysis-flowchart.jpg|550px]]
  
''References''
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= Publications =
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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'''
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= Key Investigators =
  
* UNC: Casey Goodlett
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* UNC Algorithms: Isabelle Corouge, Casey Goodlett, Guido Gerig
  
'''Links'''
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= Links =
  
 
* [[Algorithm:UNC:DTI_Tract_Statistics_Workflow | Tract statistics user workflow]]
 
* [[Algorithm:UNC:DTI_Tract_Statistics_Workflow | Tract statistics user workflow]]
  
 
  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