A KNOWLEDGE-BASED APPROACH FOR 3-D RECONSTRUCTION AND LABELING OF VASCULAR NETWORKS FROM BIPLANE ANGIOGRAPHIC PROJECTIONS

This paper is aimed at the three-dimensional reconstruction of coronary arteries. The principal objective is to show how modeling of a vascular network, together with algorithmic procedures, can lead to accurate 3-D structure and feature labeling. The various computational processes required for 3-D reconstruction are first reviewed. Emphasis is then given to knowledge acquisition, representation, and use. Examples of automatic reconstruction from phantom are finally provided.