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dc.contributor.authorCampbell, Jennifer S. W.en_US
dc.contributor.authorMomayyezSiahkal, Paryaen_US
dc.contributor.authorSavadjiev, Peteren_US
dc.contributor.authorLeppert, Ilana R.en_US
dc.contributor.authorSiddiqi, Kaleemen_US
dc.contributor.authorPike, G. Bruceen_US
dc.date.accessioned2014-12-02T21:29:12Z
dc.date.issued2014en_US
dc.identifier.citationCampbell, Jennifer S. W., Parya MomayyezSiahkal, Peter Savadjiev, Ilana R. Leppert, Kaleem Siddiqi, and G. Bruce Pike. 2014. “Beyond Crossing Fibers: Bootstrap Probabilistic Tractography Using Complex Subvoxel Fiber Geometries.” Frontiers in Neurology 5 (1): 216. doi:10.3389/fneur.2014.00216. http://dx.doi.org/10.3389/fneur.2014.00216.en
dc.identifier.issn1664-2295en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:13454836
dc.description.abstractDiffusion magnetic resonance imaging fiber tractography is a powerful tool for investigating human white matter connectivity in vivo. However, it is prone to false positive and false negative results, making interpretation of the tractography result difficult. Optimal tractography must begin with an accurate description of the subvoxel white matter fiber structure, includes quantification of the uncertainty in the fiber directions obtained, and quantifies the confidence in each reconstructed fiber tract. This paper presents a novel and comprehensive pipeline for fiber tractography that meets the above requirements. The subvoxel fiber geometry is described in detail using a technique that allows not only for straight crossing fibers but for fibers that curve and splay. This technique is repeatedly performed within a residual bootstrap statistical process in order to efficiently quantify the uncertainty in the subvoxel geometries obtained. A robust connectivity index is defined to quantify the confidence in the reconstructed connections. The tractography pipeline is demonstrated in the human brain.en
dc.language.isoen_USen
dc.publisherFrontiers Media S.A.en
dc.relation.isversionofdoi:10.3389/fneur.2014.00216en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211389/pdf/en
dash.licenseLAAen_US
dc.subjectdiffusion MRIen
dc.subjectfiber orientation distribution functionen
dc.subjecthigh angular resolution diffusion imagingen
dc.subjectfiber dispersionen
dc.subjectcurve inferenceen
dc.titleBeyond Crossing Fibers: Bootstrap Probabilistic Tractography Using Complex Subvoxel Fiber Geometriesen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalFrontiers in Neurologyen
dash.depositing.authorSavadjiev, Peteren_US
dc.date.available2014-12-02T21:29:12Z
dc.identifier.doi10.3389/fneur.2014.00216*
dash.contributor.affiliatedSavadjiev, Peter


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