Difference between revisions of "Documentation/4.2/Modules/UKFTractography"

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{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
 
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This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the [http://www.na-mic.org/ NA-MIC website].<br>
 
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Author: Yogesh Rathi, Ph.D, Psychiatry Neuroimaging Laboratory, Brigham & Women's Hospital<br>
 
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Contact: Ryan Eckbo, <email>reckbo@bwh.harvard.edu</email><br>
 
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{{documentation/{{documentation/version}}/module-section|Module Description}}
 
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We present a framework which uses an unscented Kalman filter for performing
 
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tractography. At each point on the fiber the most consistent direction is found
 
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as a mixture of previous estimates and of the local model.
 
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It is very easy to expand the framework and to implement new fiber representations
 
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for it. Currently it is possible to tract fibers using two different 1-, 2-, or 3-tensor
 
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methods. Both methods use a mixture of Gaussian tensors. One limits the diffusion
 
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ellipsoids to a cylindrical shape (the second and third eigenvalue are assumed to be
 
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identical) and the other one uses a full tensor representation.
 
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Authors: Yogesh Rathi (yogesh@bwh.harvard.edu), Stefan Lienhard, Yinpeng Li, Martin
 
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Styner, Ipek Oguz, Yundi Shi, Christian Baumgartner (c.f.baumgartner@gmail.com),
 
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Ryan Eckbo
 
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{{documentation/{{documentation/version}}/module-section|Use Cases}}
 
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* 1-Tensor tractography
 
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* 1-Tensor tractography with free water
 
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* 2-Tensor tractography
 
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* 2-Tensor tractography with free water
 
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Reference for 2-tensor tractography:
 
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* http://pnl.bwh.harvard.edu/pub/papers_html/MalcolmIEEETransMed10.html
 
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Reference for 1-tensor and 2-tensor + free-water:
 
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* C. Baumgartner, O. Michailovich, O. Pasternak, S. Bouix, J. Levitt, ME Shenton, C-F Westin, Y. Rathi,
 
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"A unified tractography framework for comparing diffusion models on clinical scans": in Workshop
 
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on computational diffusion MRI, 2012.
 
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Latest revision as of 07:37, 14 June 2013

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