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Proceedings Paper

Automated segmentation of coronary vessels in angiographic image sequences utilizing temporal, spatial, and structural constraints
Author(s): James F. O'Brien; Norberto F. Ezquerra
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Paper 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.

Paper Details

Date Published: 9 September 1994
PDF: 13 pages
Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); doi: 10.1117/12.185183
Show Author Affiliations
James F. O'Brien, Georgia Institute of Technology (United States)
Norberto F. Ezquerra, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2359:
Visualization in Biomedical Computing 1994
Richard A. Robb, Editor(s)

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