Spatiotemporal detection of arterial structure using active contours

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Abstract
Active contour models (commonly called `snakes'') have shown themselves to be a powerful and flexible paradigm for many problems in image understanding. Active contour models are now applied to the problem of detecting coronary blood vessels in cardiac angiography images, an important medical image understanding problem. Given two endpoints along a vessel, active contour models are used to find the vessel within a single angiography image. Snakes will also be employed to detect vessels across multiple frames, a task which involves computing local measures of interframe vessel motion. This is particularly important, since often the most useful information to clinicians is found in the motion of a vessel across the cardiac cycle.

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