• xmlui.mirage2.page-structure.header.title
    • français
    • English
  • Help
  • Login
  • Language 
    • Français
    • English
View Item 
  •   BIRD Home
  • CEREMADE (UMR CNRS 7534)
  • CEREMADE : Publications
  • View Item
  •   BIRD Home
  • CEREMADE (UMR CNRS 7534)
  • CEREMADE : Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesTypeThis CollectionBy Issue DateAuthorsTitlesType

My Account

LoginRegister

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors
Thumbnail

Tubular Anisotropy Segmentation

Cohen, Laurent D.; Benmansour, Fethallah (2009), Tubular Anisotropy Segmentation, ORASIS 2009, 2009-05, Tregastel, France

View/Open
32.pdf (2.455Mb)
Type
Communication / Conférence
External document link
http://orasis09.irisa.fr/Orasis_2009/Programme_et_actes.html
Date
2009
Conference title
ORASIS 2009
Conference date
2009-05
Conference city
Tregastel
Conference country
France
Pages
8
Metadata
Show full item record
Author(s)
Cohen, Laurent D.
Benmansour, Fethallah
Abstract (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.
Subjects / Keywords
segmenting images 3D; images 3D; Minimal path method; anisotropy; tubular structure

Related items

Showing items related by title and author.

  • Thumbnail
    Tubular anisotropy for 3D vessels segmentation 
    Benmansour, Fethallah; Cohen, Laurent D. (2009) Communication / Conférence
  • Thumbnail
    Tubular Anisotropy Segmentation 
    Benmansour, Fethallah; Cohen, Laurent D. (2009) Communication / Conférence
  • Thumbnail
    A New interactive method for coronary arteries segmentation based on tubular anisotropy 
    Cohen, Laurent D.; Benmansour, Fethallah (2009) Communication / Conférence
  • Thumbnail
    Tubular anisotropy for 2D vessels segmentation 
    Chung, Albert; Law, Max; Cohen, Laurent D.; Benmansour, Fethallah (2009) Communication / Conférence
  • Thumbnail
    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
Dauphine PSL Bibliothèque logo
Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16
Phone: 01 44 05 40 94
Contact
Dauphine PSL logoEQUIS logoCreative Commons logo