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dc.contributor.authorCohen, Laurent D.
HAL ID: 738939
dc.contributor.authorBenmansour, Fethallah
dc.date.accessioned2012-06-11T13:34:49Z
dc.date.available2012-06-11T13:34:49Z
dc.date.issued2009
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/9421
dc.language.isoenen
dc.subjectMinimal path methoden
dc.subject3D medical imagesen
dc.subjecttubular structureen
dc.subjectanisotropyen
dc.subjectsegmenting images 3Den
dc.subject.ddc006.3en
dc.titleA New interactive method for coronary arteries segmentation based on tubular anisotropyen
dc.typeCommunication / Conférence
dc.description.abstractenIn this paper we present a new interactive method for tubular structure extraction. The main application and motivation for this work is vessel tracking in 3D medical images. The basic tools are minimal paths solved using the fast marching algorithm. This leads to interactive tools for the physician by clicking on a small number of points in order to obtain a minimal path between two points or a set of paths in the case of a tree structure. Our method is based on a variant of the minimal path method that models the vessel as a centerline and surface 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 (based on the local orientation using a Riemannian Metric). This approach is made available for the physician using an Object Oriented Language (OOL) interface. We show results on two CT cardiac images for coronary arteries segmentation.en
dc.identifier.citationpages41-44en
dc.relation.ispartoftitleBiomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium onen
dc.relation.ispartofpublnameIEEEen
dc.relation.ispartofdate2009
dc.description.sponsorshipprivateouien
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbnE-ISBN : 978-1-4244-3932-4 Print ISBN: 978-1-4244-3931-7en
dc.relation.conftitleISBI 2009en
dc.relation.confdate2009-07
dc.relation.confcityBostonen
dc.relation.confcountryÉtats-Unisen
dc.identifier.doihttp://dx.doi.org/10.1109/ISBI.2009.5192978


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