Size independent active contour model for blood vessel lumen 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

Atherosclerosis is the most common cause of myocardial infarction. To study the atherosclerotic plaque in high resolution Magnetic Resonance images we developed a software tool called ATHER. An active contour model is used for segmentation and quantification of blood vessel lumen. Its implementation, based on a dynamic scaling process, presents two interesting features: 1) independence of the influence of the inflating force from the current size of the contour, 2) strong reduction of the computational cost. Therefore the contour converges very quickly even when initialized by a single point. This paper reports a validation of the model in ex vivo vascular images from Watanabe heritable hyperlipidaemic rabbits. Results of automatic quantification were compared to measurements performed by experts. Average difference of the area measurements between ATHER and the experts was equal to the inter­observer variability, but intra-variability of the automatic measurements was significantly smaller than the 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
Pages854-861
Number of pages8
Volume2208
ISBN (Print)3540426973, 9783540454687
DOIs
Publication statusPublished - 2001
Event4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 - Utrecht, Netherlands
Duration: Oct 14 2001Oct 17 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2208
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001
CountryNetherlands
CityUtrecht
Period10/14/0110/17/01

Fingerprint

Active Contour Model
Magnetic Resonance Image
Blood Vessels
Blood vessels
Magnetic resonance
Quantification
High Resolution
Atherosclerosis
Dynamic Scaling
Myocardial Infarction
Rabbit
Software Tools
Computational Cost
Observer
Segmentation
Converge
Costs
Model

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Desbleds-Mansard, C., Anwander, A., Chaabane, L., Orkisz, M., Neyran, B., Douek, P. C., & Magnin, I. E. (2001). Size independent active contour model for blood vessel lumen quantification in high-resolution magnetic resonance images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2208, pp. 854-861). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2208). Springer Verlag. https://doi.org/10.1007/3-540-45468-3_102

Size independent active contour model for blood vessel lumen quantification in high-resolution magnetic resonance images. / Desbleds-Mansard, Catherine; Anwander, Alfred; Chaabane, Linda; Orkisz, Maciej; Neyran, Bruno; Douek, Philippe C.; Magnin, Isabelle E.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2208 Springer Verlag, 2001. p. 854-861 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2208).

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

Desbleds-Mansard, C, Anwander, A, Chaabane, L, Orkisz, M, Neyran, B, Douek, PC & Magnin, IE 2001, Size independent active contour model for blood vessel lumen quantification in high-resolution magnetic resonance images. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2208, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2208, Springer Verlag, pp. 854-861, 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001, Utrecht, Netherlands, 10/14/01. https://doi.org/10.1007/3-540-45468-3_102
Desbleds-Mansard C, Anwander A, Chaabane L, Orkisz M, Neyran B, Douek PC et al. Size independent active contour model for blood vessel lumen quantification in high-resolution magnetic resonance images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2208. Springer Verlag. 2001. p. 854-861. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-45468-3_102
Desbleds-Mansard, Catherine ; Anwander, Alfred ; Chaabane, Linda ; Orkisz, Maciej ; Neyran, Bruno ; Douek, Philippe C. ; Magnin, Isabelle E. / Size independent active contour model for blood vessel lumen quantification in high-resolution magnetic resonance images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2208 Springer Verlag, 2001. pp. 854-861 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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