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dc.contributor.authorMakram-Ebeid, Sherif
dc.contributor.authorBloch, Isabelle
dc.contributor.authorAngelini, Elsa D.
dc.contributor.authorPrevost, Raphaël
dc.contributor.authorPizaine, Guillaume
dc.subjectmodel-based segmentationen
dc.subjectCoronary arteriesen
dc.titleSegmentation-free and multiscale-free extraction of medial information using gradient vector flow - Application to vascular structuresen
dc.typeCommunication / Conférence
dc.contributor.editoruniversityotherLaboratoire traitement et communication de l'information (LTCI) CNRS : UMR5141 – Institut Télécom – Télécom ParisTech;France
dc.contributor.editoruniversityotherMedisysResearch Lab (Medisys) Philips Research;France
dc.description.abstractenGradient Vector Flow has become a popular method to recover medial information in medical imaging, in particular for vessels centerline extraction. This renewed interest has been motivated by its ability to proceed from gray-scale images, without prior segmentation. However, another interesting property lies in the diffusion process used to solve the corresponding variational problem. We propose a method to recover scale information in the context of vascular structures extraction, relying on analytical properties of the Gradient Vector Flow only, with no multiscale analysis. Through simple one-dimensional considerations, we demonstrate the ability of our approach to estimate the radii of the vessels with an error of 10% only in the presence of noise and less than 3% without noise. Our approach is evaluated on convolved bar-like templates and is illustrated on 2D X-ray angiographies. (c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. This paper is also available with the following DOI:
dc.relation.ispartoftitle9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012en
dc.subject.ddclabelTraitement du signalen
dc.relation.ispartofisbnPrint ISBN: 978-1-4577-1857-1 E-ISBN : 978-1-4577-1858-8en
dc.relation.conftitleISBI 2012en

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