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dc.contributor.authorRathi, Yogesh
dc.contributor.authorMalcolm, James G.
dc.contributor.authorMichailovich, Oleg
dc.contributor.authorWestin, Carl-Fredrik
dc.contributor.authorShenton, Martha Elizabeth
dc.contributor.authorBouix, Sylvain
dc.date.accessioned2016-09-23T15:26:54Z
dc.date.issued2010
dc.identifier.citationRathi, Yogesh, James G. Malcolm, Oleg Michailovich, Carl-Fredrik Westin, Martha E. Shenton, and Sylvain Bouix. 2010. Tensor Kernels for Simultaneous Fiber Model Estimation and Tractography. Magn. Reson. Med. 64, no. 1: 138–148. doi:10.1002/mrm.22292.en_US
dc.identifier.issn0740-3194en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:28548994
dc.description.abstractThis paper proposes a novel framework for joint orientation distribution function (ODF) estimation and tractography based on a new class of tensor-kernels. Existing techniques estimate the local fiber orientation at each voxel independently so there is no running knowledge of confidence in the measured signal or estimated fiber orientation. In this work, fiber tracking is formulated as recursive estimation: at each step of tracing the fiber, the current estimate of the ODF is guided by the previous. To do this, second and higher order tensor based kernels are employed. A weighted mixture of these tensor-kernels is used for representing crossing and branching fiber structures. While tracing a fiber, the parameters of the mixture model are estimated based on the ODF at that location and a smoothness term that penalizes deviation from the previous estimate along the fiber direction. This ensures smooth estimation along the direction of propagation of the fiber. In synthetic experiments, using a mixture of two and three components it is shown that this approach improves the angular resolution at crossings. In vivo experiments using two and three components examine the corpus callosum and corticospinal tract and confirm the ability to trace through regions known to contain such crossing and branching.en_US
dc.language.isoen_USen_US
dc.publisherWiley-Blackwellen_US
dc.relation.isversionofdoi:10.1002/mrm.22292en_US
dc.relation.hasversionhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3043656/en_US
dash.licenseLAA
dc.subjectDiffusion-weighted MRIen_US
dc.subjecttractographyen_US
dc.subjectdiffusion tensor estimationen_US
dc.titleTensor kernels for simultaneous fiber model estimation and tractographyen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalMagnetic Resonance in Medicineen_US
dash.depositing.authorShenton, Martha Elizabeth
dc.date.available2016-09-23T15:26:54Z
dc.identifier.doi10.1002/mrm.22292*
dash.identifier.orcid0000-0003-4235-7879en_US
dash.contributor.affiliatedWestin, Carl-Fredrik
dash.contributor.affiliatedRathi, Yogesh
dash.contributor.affiliatedBouix, Sylvain
dash.contributor.affiliatedShenton, Martha


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