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dc.contributor.authorMille, Julien*
dc.contributor.authorBenmansour, Fethallah*
dc.contributor.authorCohen, Laurent D.*
dc.date.accessioned2017-12-05T11:01:39Z
dc.date.available2017-12-05T11:01:39Z
dc.date.issued2009
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/17167
dc.language.isoenen
dc.subjectAlgorithm for Carotid lumen segmentationen
dc.subject.ddc621.3en
dc.titleCarotid Lumen Segmentation Based on Tubular Anisotropy and Contours Without Edgesen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenWe present a semi-automatic algorithm for Carotid lumen segmentation on CTA images.Our method is based on a variant of the minimal path method that models the vessel as a centerline and boundary. This is done by adding one dimension for the local radius around the centerline. The crucial step of our method is the definition of the local metrics to minimize. We have chosen to exploit the tubular structure of the vessels one wants to extract to built an anisotropic metric giving higher speed on the center of the vessels and also when the minimal path tangent is coherent with the vessel’s direction. Due to carotid stenosis or occlusions on the provided data, segmentation is refined using a region-based level sets.en
dc.relation.isversionofjnlnameThe MIDAS Journal
dc.relation.isversionofjnlvolSpecial issue on Carotid Lumen Segmentation and Stenosis Grading (MICCAI 2009 Grand Challenge III)en
dc.relation.isversionofjnlissueJuly 2009en
dc.relation.isversionofjnldate2009
dc.subject.ddclabelTraitement du signalen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2017-11-28T10:27:39Z
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