Dynamic active contour model for size independent blood vessel lumen segmentation and quantification in high-resolution magnetic resonance images

Catherine Desbleds-Mansard, Alfred Anwander, Linda Chaabane, Maciej Orkisz, Bruno Neyran, Philippe C. Douek, Isabelle E. Magnin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We are presenting a software tool developed for the purpose of atherosclerotic plaque study in high resolution Magnetic Resonance Images. A new implementation of balloon-type active contour model used for segmentation and quantification of blood vessel lumen is described. Its originality resides in a dynamic scaling process which makes the influence of the balloon force independent of the current size of the contour. The contour can therefore be initialized by single point. Moreover, system matrix inversion is performed only once. Hence computational cost is strongly reduced. This model was validated in ex vivo vascular images from Watanabe heritable hyperlipidaemic rabbits. Automatic quantification results were compared to measurements performed by experts. Mean quantification error was smaller than average intra-observer variability.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages264-273
Number of pages10
Volume2124
ISBN (Print)9783540425137
Publication statusPublished - 2001
Event9th International Conference on Computer Analysis of Images and Patterns, CAIP 2001 - Warsaw, Poland
Duration: Sep 5 2001Sep 7 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2124
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Computer Analysis of Images and Patterns, CAIP 2001
Country/TerritoryPoland
CityWarsaw
Period9/5/019/7/01

Keywords

  • Active contour model
  • Magnetic resonance Images
  • Medical imaging

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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