• 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 - Request a copy

Tubular Model for Orientation Dependant Vessel Segmentation using Anisotropic Fast Marching

Benmansour, Fethallah; Cohen, Laurent D. (2010), Tubular Model for Orientation Dependant Vessel Segmentation using Anisotropic Fast Marching, SIAM 2010. Conference on Imaging Science. Minisymposium on Anisotropic Fast Marching and Applications, 2010-04, Chicago, États-Unis

Type
Communication / Conférence
Date
2010
Conference title
SIAM 2010. Conference on Imaging Science. Minisymposium on Anisotropic Fast Marching and Applications
Conference date
2010-04
Conference city
Chicago
Conference country
États-Unis
Metadata
Show full item record
Author(s)
Benmansour, Fethallah
Cohen, Laurent D.
Abstract (EN)
Abstract. We present a new interactive method for tubular structure extraction, like vessels in 2D and 3D images. The basic tools are minimal paths solved using the fast marching algorithm. Our method is based on a variant of the minimal path method that models the vessel as a centerline and surface. 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. The designed metric is well oriented along the direction of the vessel, admits higher velocity on the centerline, and provides a good estimate of the vessel radius. Based on the optimally oriented flux this measure is required to be robust against the disturbance introduced by noise or adjacent structures with intensity similar to the target vessel.
Subjects / Keywords
Fast marching algorithm; Minimal path method; Vessel segmentation; images 3D; 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 for 2D vessels segmentation 
    Chung, Albert; Law, Max; Cohen, Laurent D.; Benmansour, Fethallah (2009) Communication / Conférence
  • Thumbnail
    Using deformable surface registration for vessel segmentation on computed tomography angiography 
    Benmansour, Fethallah; Cohen, Laurent D.; Sochen, Nir; Kimmel, Ron (2007) Communication / Conférence
  • Thumbnail
    Tubular Structure Segmentation Based on Minimal Path Method and Anisotropic Enhancement 
    Benmansour, Fethallah; Cohen, Laurent D. (2011) Article accepté pour publication ou publié
  • Thumbnail
    Interactive Retinal Vessel Centreline Extraction and Boundary Delineation Using Anisotropic Fast Marching and Intensities Consistency 
    Chen, Da; Cohen, Laurent D. (2015) Communication / Conférence
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