Automated segmentation of coronary vessels in angiographic image sequences utilizing temporal, spatial, and structural constraints

James F. O'Brien; Norberto F. Ezquerra

doi:10.1117/12.185183

9 September 1994 Automated segmentation of coronary vessels in angiographic image sequences utilizing temporal, spatial, and structural constraints

James F. O'Brien, Norberto F. Ezquerra

Author Affiliations +

Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185183
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States

Abstract

The methods presented here have been developed to perform the automated segmentation of coronary arterial structure from cine sequences of biplanar x-ray angiograms. We introduce a methodology to impose an integrated set of constraints based on knowledge concerning the anatomical structure of the vascular system, temporal changes in position due to motion, and spatial coherence. Results are shown for data sets generated from both porcine and human studies.

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James F. O'Brien and Norberto F. Ezquerra "Automated segmentation of coronary vessels in angiographic image sequences utilizing temporal, spatial, and structural constraints", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); https://doi.org/10.1117/12.185183

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