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dc.contributor.authorChen, Da
dc.contributor.authorZhang, Jiong
dc.contributor.authorCohen, Laurent D.
dc.date.accessioned2019-04-16T09:45:22Z
dc.date.available2019-04-16T09:45:22Z
dc.date.issued2019
dc.identifier.issn1057-7149
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/18657
dc.language.isoenen
dc.subjectGeodesicen
dc.subjectappearance feature coherenceen
dc.subjectadap-tive anisotropyen
dc.subjectdynamic metricen
dc.subjecttubular structure segmentationen
dc.subject.ddc621.3en
dc.titleMinimal Paths for Tubular Structure Segmentation With Coherence Penalty and Adaptive Anisotropyen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenThe minimal path method has proven to be particularly useful and efficient in tubular structure segmentation applications. In this paper, we propose a new minimal path model associated with a dynamic Riemannian metric embedded with an appearance feature coherence penalty and an adaptive anisotropy enhancement term. The features that characterize the appearance and anisotropy properties of a tubular structure are extracted through the associated orientation score. The proposed the dynamic Riemannian metric is updated in the course of the geodesic distance computation carried out by the efficient single-pass fast marching method. Compared to the state-of-the-art minimal path models, the proposed minimal path model is able to extract the desired tubular structures from a complicated vessel tree structure. In addition, we propose an efficient prior path-based method to search for vessel radius value at each centerline position of the target. Finally, we perform the numerical experiments on both synthetic and real images. The quantitive validation is carried out on retinal vessel images. The results indicate that the proposed model indeed achieves a promising performance.en
dc.relation.isversionofjnlnameIEEE Transactions on Image Processing
dc.relation.isversionofjnlvol28en
dc.relation.isversionofjnlissue3en
dc.relation.isversionofjnldate2019-03
dc.relation.isversionofjnlpages1271-1284en
dc.relation.isversionofdoi10.1109/TIP.2018.2874282en
dc.relation.isversionofjnlpublisherIEEE - Institute of Electrical and Electronics Engineersen
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.Isversionofjnlpeerreviewedouien
dc.relation.Isversionofjnlpeerreviewedouien
dc.date.updated2019-03-26T13:47:21Z
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hal.person.labIds693
hal.person.labIds60


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