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Piecewise Geodesics for Vessel Centerline Extraction and Boundary Delineation with Application to Retina Segmentation

hal.structure.identifier
dc.contributor.authorChen, Da*
hal.structure.identifier
dc.contributor.authorCohen, Laurent D.
HAL ID: 738939		*
dc.date.accessioned2017-12-05T11:37:03Z
dc.date.available2017-12-05T11:37:03Z
dc.date.issued2015
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/17170
dc.descriptionLNCS n°9087
dc.language.isoenen
dc.subjectGeodesic
dc.subjectMinimal path
dc.subjectTubular structure extraction
dc.subjectRetinal vessel segmentation
dc.subjectAnisotropic fast marching
dc.subject.ddc621.3en
dc.titlePiecewise Geodesics for Vessel Centerline Extraction and Boundary Delineation with Application to Retina Segmentation
dc.typeCommunication / Conférence
dc.description.abstractenGeodesic methods have been widely applied to image analysis [17]. In this paper, we propose an automatic anisotropic fast marching based geodesic method to extract the centrelines of retinal vessel segments and their boundaries. Our method is related to the geodesic or minimal path technique which is particularly efficient to extract a tubular shape, such as a blood vessel. The proposed method consists of a set of pairs of points. Each pair of points provides the Initial point and Target point for one geodesic. For each pair of Initial point and Target point, we calculate a special Riemannian metric with an additional Radius dimension to constrain the fast marching propagation so that our method can get a nice path without any shortcut. The given pairs of points can be easily obtained from a pre-segmented skeletonized image by any vessel detection filter like Hessian or Oriented Flux method. Experimental results demonstrate that our method can extract vessel segments at a finer scale, with increased accuracy.
dc.identifier.citationpages270-281
dc.relation.ispartoftitleScale Space and Variational Methods in Computer Vision 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings
dc.relation.ispartoftitleSSVM'15
dc.relation.ispartofeditorJean-François Aujol, Mila Nikolova, Nicolas Papadakis
dc.relation.ispartofpublnameSpringer
dc.relation.ispartofpublcityBerlin Heidelberg
dc.relation.ispartofdate2015
dc.relation.ispartofurl10.1007/978-3-319-18461-6
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-01250017
dc.subject.ddclabelTraitement du signalen
dc.relation.ispartofisbn978-3-319-18460-9
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-319-18461-6_22
dc.description.ssrncandidatenon
dc.description.halcandidatenon
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2017-12-20T15:16:56Z
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