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 language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Publisher | Springer Verlag |
| Pages | 854-861 |
| Number of pages | 8 |
| Volume | 2208 |
| ISBN (Print) | 3540426973, 9783540454687 |
| DOIs | |
| Publication status | Published - 2001 |
| Event | 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 - Utrecht, Netherlands Duration: Oct 14 2001 → Oct 17 2001 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2208 |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 |
|---|---|
| Country | Netherlands |
| City | Utrecht |
| Period | 10/14/01 → 10/17/01 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Size independent active contour model for blood vessel lumen quantification in high-resolution magnetic resonance images
AU - Desbleds-Mansard, Catherine
AU - Anwander, Alfred
AU - Chaabane, Linda
AU - Orkisz, Maciej
AU - Neyran, Bruno
AU - Douek, Philippe C.
AU - Magnin, Isabelle E.
PY - 2001
Y1 - 2001
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84958156754&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958156754&partnerID=8YFLogxK
U2 - 10.1007/3-540-45468-3_102
DO - 10.1007/3-540-45468-3_102
M3 - Conference contribution
SN - 3540426973
SN - 9783540454687
VL - 2208
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 854
EP - 861
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
ER -