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− | {{documentation/{{documentation/version}}/module-header}} | + | #REDIRECT [[Documentation/Nightly/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: FIRSTNAME LASTNAME, AFFILIATION<br>
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− | Contributor1: FIRSTNAME LASTNAME, AFFILIATION<br>
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− | Contributor2: FIRSTNAME LASTNAME, AFFILIATION<br>
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− | Contact: FIRSTNAME LASTNAME, <email>john@doe.org</email><br>
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− | |{{collaborator|logo|isomics}}|{{collaborator|longname|isomics}} <- Replace this logo with yours
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− | |{{collaborator|logo|spl}}|{{collaborator|longname|spl}} <-Replace this logo with yours
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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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