• 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

Fast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interaction

Li, Hua; Yezzi, Anthony; Cohen, Laurent D. (2005), Fast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interaction, in Liu, Yanxi; Jiang, Tianzi; Zhang, Changshui, Computer Vision for Biomedical Image Applications First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005. Proceedings, Springer : Berlin, p. 335-345. http://dx.doi.org/10.1007/11569541_34

View/Open
HuaLiICCV05.pdf (412.0Kb)
Type
Communication / Conférence
Date
2005
Conference title
Computer Vision for Biomedical Image Applications First International Workshop, CVBIA 2005
Conference date
2005-10
Conference city
Beijing
Conference country
Chine
Book title
Computer Vision for Biomedical Image Applications First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005. Proceedings
Book author
Liu, Yanxi; Jiang, Tianzi; Zhang, Changshui
Publisher
Springer
Series title
Lecture Notes in Computer Science
Series number
3765
Published in
Berlin
ISBN
978-3-540-29411-5
Number of pages
563
Pages
335-345
Publication identifier
http://dx.doi.org/10.1007/11569541_34
Metadata
Show full item record
Author(s)
Li, Hua
Yezzi, Anthony
Cohen, Laurent D.
Abstract (EN)
Important attributes of 3D brain segmentation algorithms include robustness, accuracy, computational efficiency, and facilitation of user interaction, yet few algorithms incorporate all of these traits. Manual segmentation is highly accurate but tedious and laborious. Most automatic techniques, while less demanding on the user, are much less accurate. It would be useful to employ a fast automatic segmentation procedure to do most of the work but still allow an expert user to interactively guide the segmentation to ensure an accurate final result. We propose a novel 3D brain cortex segmentation procedure utilizing dual-front active contours, which minimize image-based energies in a manner that yields more global minimizers compared to standard active contours. The resulting scheme is not only more robust but much faster and allows the user to guide the final segmentation through simple mouse clicks which add extra seed points. Due to the global nature of the evolution model, single mouse clicks yield corrections to the segmentation that extend far beyond their initial locations, thus minimizing the user effort. Results on 15 simulated and 20 real 3D brain images demonstrate the robustness, accuracy, and speed of our scheme compared with other methods.
Subjects / Keywords
3D brain segmentation algorithms

Related items

Showing items related by title and author.

  • Thumbnail
    3D Brain Cortex Segmentation Using Dual-Front Active Contours with Optional User-Interaction 
    Li, Hua; Yezzi, Anthony; Cohen, Laurent D. (2006) Article accepté pour publication ou publié
  • Thumbnail
    A Generalized Asymmetric Dual-front Model for Active Contours and Image Segmentation 
    Chen, Da; Spencer, Jack; Mirebeau, Jean-Marie; Chen, Ke; Shu, Minglei; Cohen, Laurent D. (2021) Article accepté pour publication ou publié
  • Thumbnail
    Fast Surface Segmentation Guided by User Input Using Implicit Extension of Minimal Paths 
    Ardon, Roberto; Cohen, Laurent D.; Yezzi, Anthony (2006) Article accepté pour publication ou publié
  • Thumbnail
    3D Multi-branch Tubular Surface and Centerline Extraction with 4D Iterative Key Points 
    Cohen, Laurent D.; Yezzi, Anthony; Li, Hua (2009) Communication / Conférence
  • Thumbnail
    Anisotropic tubular minimal path model with fast marching front freezing scheme 
    Liu, Li; Chen, Da; Cohen, Laurent D.; Wu, Jiasong; Paques, Michel; Shu, Huazhong (2020) 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