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

被引：67

作者：

GARREAU, M

COATRIEUX, JL

COLLOREC, R

CHARDENON, C

机构：

[1] Laboratoire Traitement du Signal et de I’Image, Campus de Beaulieu, University of Rennes I, 35 042, Rennes

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 1991年 / 10卷 / 02期

关键词：

D O I：

10.1109/42.79469

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：122 / 131

页数：10

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