Title

HIERARCHICAL SEARCH ALGORITHM FOR IDENTIFICATION OF CORONARY ARTERY CONTOURS IN DIGITAL ANGIOGRAMS.

Document Type

Conference Proceeding

Date of Original Version

12-1-1987

Abstract

A search algorithm to automatically determine the coronary artery contours in digital angiograms is presented. The search is hierarchical with the major arteries being identified first and then the side branches. The only operator intervention required is to define a start-of-search point and an initial search direction on the image. The search direction is adaptive, so no a priori assumption concerning the general orientation of the vessels is necessary. The algorithm is iterative over three steps, respectively, for the identification of 1) central artery lines; 2) artery edges, and 3) branch points. Output includes a line representation of the branching structure and a chain-connected contour delimiting the coronary artery segments. The algorithm was evaluated with both noise-added, phantom images and human coronary arteriograms. Preliminary results show that this algorithm can precisely segment the coronary artery branches with relatively complicated structures.

Publication Title

Computers in Cardiology

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