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dc.contributor.authorWassermann, Demian
dc.contributor.authorRathi, Yogesh
dc.contributor.authorBouix, Sylvain
dc.contributor.authorKubicki, Marek R.
dc.contributor.authorKikinis, Ron
dc.contributor.authorShenton, Martha Elizabeth
dc.contributor.authorWestin, Carl-Fredrik
dc.date.accessioned2016-09-23T15:17:33Z
dc.date.issued2011
dc.identifier.citationWassermann D, Rathi Y, Bouix S, Kubicki M, Kikinis R, Shenton M, Westin CF. 2011. White matter bundle registration and population analysis based on Gaussian processes. Inf Process Med Imaging 22:320-32. doi:10.1007/978-3-642-22092-0_27en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:28548988
dc.description.abstractThis paper proposes a method for the registration of white matter tract bundles traced from diffusion images and its extension to atlas generation. Our framework is based on a Gaussian process representation of tract density maps. Such a representation avoids the need for point-to point correspondences, is robust to tract interruptions and reconnections and seamlessly handles the comparison and combination of white matter tract bundles. Moreover, being a parametric model, this approach has the potential to be defined in the Gaussian processes’ parameter space, without the need for resampling the fiber bundles during the registration process. We use the similarity measure of our Gaussian process framework, which is in fact an inner product, to drive a diffeomorphic registration algorithm between two sets of homologous bundles which is not biased by point-to-point correspondences or the parametrization of the tracts. We estimate a dense deformation of the underlying white matter using the bundles as anatomical landmarks and obtain a population atlas of those fiber bundles. Finally we test our results in several different bundles obtained from in-vivo data.en_US
dc.language.isoen_USen_US
dc.publisherSpringer Science + Business Mediaen_US
dc.relation.isversionofdoi:10.1007/978-3-642-22092-0_27en_US
dc.relation.hasversionhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3140022/en_US
dash.licenseLAA
dc.subjectdiffusion MRIen_US
dc.subjectWhite Matter Fiber Tractsen_US
dc.subjectGaussian Processesen_US
dc.subjectRegistrationen_US
dc.titleWhite Matter Bundle Registration and Population Analysis Based on Gaussian Processesen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalLecture Notes in Computer Scienceen_US
dash.depositing.authorShenton, Martha Elizabeth
dc.date.available2016-09-23T15:17:33Z
dc.identifier.doi10.1007/978-3-642-22092-0_27*
dash.identifier.orcid0000-0003-4235-7879en_US
dash.contributor.affiliatedWestin, Carl-Fredrik
dash.contributor.affiliatedKubicki, Marek
dash.contributor.affiliatedKikinis, Ron
dash.contributor.affiliatedRathi, Yogesh
dash.contributor.affiliatedBouix, Sylvain
dash.contributor.affiliatedShenton, Martha
dc.identifier.orcid0000-0001-7227-7058


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