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Tubular Anisotropy Segmentation

Benmansour, Fethallah; Cohen, Laurent D. (2009), Tubular Anisotropy Segmentation, dans Tai, Xue-Cheng, Knut Morken, Marius Lysaker, Knut-Andreas Lie, Scale Space and Variational Methods in Computer Vision Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings, Springer : Berlin Heidelberg, p. 14-25. 10.1007/978-3-642-02256-2_2

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anisotropy.PDF (10.28Mb)
Type
Communication / Conférence
Date
2009
Pays du colloque
NORWAY
Titre de l'ouvrage
Scale Space and Variational Methods in Computer Vision Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings
Auteurs de l’ouvrage
Tai, Xue-Cheng, Knut Morken, Marius Lysaker, Knut-Andreas Lie
Éditeur
Springer
Ville d’édition
Berlin Heidelberg
Isbn
978-3-642-02255-5
Pages
14-25
Identifiant publication
10.1007/978-3-642-02256-2_2
Métadonnées
Afficher la notice complète
Auteur(s)
Benmansour, Fethallah

Cohen, Laurent D.
Résumé (EN)
In this paper we present a new interactive method for tubular structure extraction. The main application and motivation for this work is vessel tracking in 2D and 3D images. The basic tools are minimal paths solved using the fast marching algorithm. This allows 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. 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. This measure is required to be robust against the disturbance introduced by noise or adjacent structures with intensity similar to the target vessel. We obtain promising results on noisy synthetic and real 2D and 3D images.
Mots-clés
Vessel segmentation; Multi-scale; Minimal path method; Anisotropy; Enhancement; Fast marching algorithm

Publications associées

Affichage des éléments liés par titre et auteur.

  • Vignette de prévisualisation
    Tubular anisotropy for 3D vessels segmentation 
    Benmansour, Fethallah; Cohen, Laurent D. (2009) Communication / Conférence
  • Vignette de prévisualisation
    A New interactive method for coronary arteries segmentation based on tubular anisotropy 
    Cohen, Laurent D.; Benmansour, Fethallah (2009) Communication / Conférence
  • Vignette de prévisualisation
    Tubular Anisotropy Segmentation 
    Cohen, Laurent D.; Benmansour, Fethallah (2009) Communication / Conférence
  • Vignette de prévisualisation
    Tubular anisotropy for 2D vessels segmentation 
    Chung, Albert; Law, Max; Cohen, Laurent D.; Benmansour, Fethallah (2009) Communication / Conférence
  • Vignette de prévisualisation
    Carotid Lumen Segmentation Based on Tubular Anisotropy and Contours Without Edges 
    Mille, Julien; Benmansour, Fethallah; Cohen, Laurent D. (2009) Article accepté pour publication ou publié
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