Dynamic Active Contour Model for Size Independent Blood Vessel Lumen Segmentation and Quantification in High-Resolution Magnetic Resonance Images

Authors:
Catherine Desbleds-Mansard;Alfred Anwander;Linda Chaabane;Maciej Orkisz;Bruno Neyran;Philippe Douek;Isabelle E. Magnin
Affiliations:
-;-;-;-;-;-;-
Venue:
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Year:
2001

Citing 2
Cited 1

On active contour models and balloons

CVGIP: Image Understanding
A Deformable Vessel Model with Single Point Initialization for Segmentation, Quantification and Visualization of Blood Vessels in 3D MRA

MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention

Size Independent Active Contour Model for Blood Vessel Lumen Quantification in High-Resolution Magnetic Resonance Images

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention

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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.