GVU Technical Report Number:
GIT-GVU-94-30
Title:
Automated Segmentation of Coronary Vessels in Angiographic Image
Sequences Utilizing Temporal, Spatial and Structural Constraints
Authors:
James F. O'Brien
Norberto F. Ezquerra
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
datasets generated from both porcine and human studies.
Keywords:
Angiographic image sequences, medical imaging
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