Contour Detection of the Left Ventricular Cavity from Angiographic Images

Abstract

A knowledge-based heuristic method is proposed to outline the left ventricular cavity from end-diastolic angiographic images in right anterior oblique projection in man. The algorithm search for the optimal path in a weighted graph, representing the state space, can implicitly be defined as the set of all the contour segments that can be produced by successor operators. Applications to routine images are presented.