Coppini G, Demi M, Mennini R, Valli G
CNR Institute of Clinical Physiology, Pisa, Italy.
Med Biol Eng Comput. 1991 Sep;29(5):535-42. doi: 10.1007/BF02442327.
A knowledge-driven approach to the three-dimensional reconstruction of coronary artery trees by means of two X-ray projections is proposed. The spatial reconstruction of the tree skeleton is discussed. A binary tree model of the arterial structure and its projections is employed. Consequently, the reconstruction of the three-dimensional tree skeleton is achieved by (a) matching the skeletons of corresponding pairs of vascular segments in the two views and (b) back-projecting the coupled skeleton projections. From a geometrical point of view, the matching problem is, in general, ill-conditioned. For this reason, additional information sources were used. Thus, the matching phase is accomplished by using both the imaging geometry information, as well as anatomical and topological knowledge, about the coronary arteries coded in a rule base. As far as the back-projection phase is concerned, an algorithm was developed based on: (1) the imaging geometry, (2) the bounding of the back-projection error and (3) a contiguity criterion.
提出了一种基于知识驱动的方法，通过两个X射线投影对冠状动脉树进行三维重建。讨论了树状骨架的空间重建。采用了动脉结构及其投影的二叉树模型。因此，通过以下方式实现三维树状骨架的重建：(a) 匹配两个视图中相应血管段对的骨架；(b) 对耦合的骨架投影进行反投影。从几何角度来看，匹配问题通常是病态的。因此，使用了额外的信息源。这样，匹配阶段通过使用成像几何信息以及编码在规则库中的关于冠状动脉的解剖学和拓扑学知识来完成。就反投影阶段而言，基于以下几点开发了一种算法：(1) 成像几何；(2) 反投影误差的界定；(3) 邻接准则。
