Difference between revisions of "Collaboration:College of William and Mary"

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(New page: This project is a funded in part from NSF and John Simon Guggenheim Foundation and its goals are three: (1) deliver guaranteed quality image-to-mesh conversion tools for non-rigid regis...)
 
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This project is a funded in part from NSF and John Simon Guggenheim Foundation and its goals are three: (1) deliver guaranteed quality image-to-mesh  conversion tools for non-rigid registration of brain MRI, (2) develop parallel and distributed non-rigid registration of MRI images to   meet the  time constrains imposed  by neurosurgery and (3) improve accuracy of non-rigid registration of brain MRI by utilizing the resources of the TeraGrid infrastructure.  
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  Back to [[NA-MIC_External_Collaborations]]
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[[image:KubickiJPR2007-fig6.png|thumb|right|300px|Example of fiber tracking: High resolution MRI data post-processed using automated tracking procedure. Voxels within fiber bundles are color coded according to their FA values. [http://www.na-mic.org/Special:PubDB_View?dspaceid=99 More information] ]]
  
Collaboration with Nikos Chrisochoides from Center for Real-Time Computing.
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==Abstract==
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This project has 3 goals: (1) deliver guaranteed quality  image-to-mesh  conversion tools for non-rigid registration of brain MRI, (2) develop parallel and distributed non-rigid registration of MRI images to  meet the  time constrains imposed  by neurosurgery and (3) improve accuracy of non-rigid registration of brain MRI by utilizing the resources of the TeraGrid infrastructure.
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==Grant==.
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This project is a funded in part from NSF and John Simon Guggenheim Foundation
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==Key Personnel==
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Nikos Chrisochoides, Center for Real-Time Computing, College of William and Mary.
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==Projects==
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==Publications==
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==Resource Links==

Revision as of 11:29, 3 June 2008

Home < Collaboration:College of William and Mary
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Example of fiber tracking: High resolution MRI data post-processed using automated tracking procedure. Voxels within fiber bundles are color coded according to their FA values. More information

Abstract

This project has 3 goals: (1) deliver guaranteed quality image-to-mesh conversion tools for non-rigid registration of brain MRI, (2) develop parallel and distributed non-rigid registration of MRI images to meet the time constrains imposed by neurosurgery and (3) improve accuracy of non-rigid registration of brain MRI by utilizing the resources of the TeraGrid infrastructure.


==Grant==. This project is a funded in part from NSF and John Simon Guggenheim Foundation

Key Personnel

Nikos Chrisochoides, Center for Real-Time Computing, College of William and Mary.

Projects

Publications

Resource Links