Ding Z, Friedman M H
Biomedical Engineering Center, The Ohio State University, Columbus 43210-1002, USA.
Int J Card Imaging. 2000 Oct;16(5):331-46. doi: 10.1023/a:1026590417177.
Speculation that the motion of the coronary arteries might be involved in the pathogenesis of coronary atherosclerosis has generated growing interest in the study of this motion. Accordingly, a system has been developed to quantify 3-D coronary arterial motion using clinical biplane cineangiograms. Exploiting the temporal continuity of sequential angiographic images, a template matching technique is designed to track the non-uniform frame-to-frame motion of coronary arteries without assuming that the vessels experience uniform axial strain. The implementation of the system is automated by a coarse-to-fine matching process, thus improving the efficiency and objectivity of motion analysis. The system has been validated and employed to characterize the in vivo motion dynamics of human coronary arteries; illustrative results show that this system is a promising tool for routine clinical and laboratory analysis of coronary arterial motion.
关于冠状动脉运动可能参与冠状动脉粥样硬化发病机制的推测,引发了对该运动研究的日益浓厚兴趣。因此,已开发出一种利用临床双平面电影血管造影术来量化三维冠状动脉运动的系统。利用连续血管造影图像的时间连续性,设计了一种模板匹配技术来跟踪冠状动脉帧间的非均匀运动,而无需假设血管经历均匀的轴向应变。该系统通过从粗到精的匹配过程实现自动化,从而提高了运动分析的效率和客观性。该系统已经过验证,并用于表征人体冠状动脉的体内运动动力学;示例结果表明,该系统是用于冠状动脉运动常规临床和实验室分析的一种有前景的工具。