Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47455
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dc.contributor.authorMarím-Fernández, Marcosen_US
dc.contributor.authorAlberola-López, Carlosen_US
dc.contributor.authorRuiz-Alzola, Juanen_US
dc.contributor.authorWestin, Carl Fredriken_US
dc.date.accessioned2018-11-23T13:42:08Z-
dc.date.available2018-11-23T13:42:08Z-
dc.date.issued2003en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/47455-
dc.description.abstractIn this paper we propose a novel non-Gaussian MRF for regularization of tensor fields for fiber tract enhancement. Two entities are considered in the model, namely, the linear component of the tensor, i.e., how much line-like the tensor is, and the angle of the eigenvector associated to the largest eigenvalue. A novel, to the best of the author's knowledge, angular density function has been proposed. Closed form expressions of the posterior densities are obtained. Some experiments are also presented for which color-coded images are visually meaningful. Finally, a quantitative measure of regularization is also calculated to validate the achieved results based on an averaged measure of entropy.en_US
dc.languageengen_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceLecture Notes in Computer Science[ISSN 0302-9743],v. 2879, p. 92-100en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherTensor Magnetic Resonance Imageen_US
dc.subject.otherGaussian Noise Modelen_US
dc.subject.otherBrain White Matteren_US
dc.subject.otherLarge Eigenvalueen_US
dc.subject.otherLinear Componenten_US
dc.titleRegularization of diffusion tensor maps using a non-Gaussian markov random field approachen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.relation.conference6th International Conference on Medical Image Computing and Computer-Assisted Interventionen_US
dc.identifier.scopus0345255224-
dc.identifier.isi000188180400012-
dc.contributor.authorscopusid57201814237-
dc.contributor.authorscopusid55999734500-
dc.contributor.authorscopusid56614041800-
dc.contributor.authorscopusid35477140400-
dc.description.lastpage100en_US
dc.description.firstpage92en_US
dc.relation.volume2879en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid541237-
dc.contributor.daisngid2978308-
dc.contributor.daisngid920778-
dc.contributor.daisngid47947-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Martin-Fernandez, M-
dc.contributor.wosstandardWOS:Alberola-Lopez, C-
dc.contributor.wosstandardWOS:Ruiz-Alzola, J-
dc.contributor.wosstandardWOS:Westin, CF-
dc.date.coverdate2003en_US
dc.identifier.conferenceidevents120382-
dc.identifier.ulpgces
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.event.eventsstartdate15-11-2003-
crisitem.event.eventsenddate18-11-2003-
crisitem.author.deptGIR IUIBS: Tecnología Médica y Audiovisual-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-3545-2328-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameRuiz Alzola, Juan Bautista-
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