The role of coronary arteries is to supply sufficient blood to myocardium. Obstruction of coronary arteries limits blood supply and causes myocardial ischemia or acute myocardial infarction, a major cause of human death. Hence, the quantification of the regional amount of heart muscle subtended by obstructed coronary arteries is of critical value in clinical medicine. However, conventional methods are inaccurate and frequently disagree with clinical practice. This study proposes a novel medial-axis-based correspondence (Medial-ABC) algorithm to find the correspondence between myocardium and coronary artery in order to segment regional myocardium at risk subtended by any potentially obstructed coronary artery. Given the triangular mesh models of coronary artery and myocardium, the proposed algorithm (i) computes the medial axis of coronary artery, (ii) finds the correspondence using the medial axis of coronary artery, and (iii) segments the coronary artery and myocardium. The proposed algorithm provides a robust mathematical linkage between myocardium at risk and supplying coronary arteries so that ischemic myocardial regions can be accurately identified. Hence, both the extent and severity of myocardial ischemia can be quantified effectively, efficiently, and accurately. Furthermore, the constructed mesh model of segmented coronary artery and myocardium can be post-processed for applications such as building optimization models of cardiac systems. The CardiacVis program, which implements the Medial-ABC algorithm, is freely available at Voronoi Diagram Research Center (http://voronoi.hanyang.ac.kr/software/cardiacvis) and will be an invaluable tool for quantitative patient-specific risk stratification in clinical practice.

中文翻译：

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Medial-ABC：一种基于冠状动脉中轴的心肌和冠状动脉网状模型之间对应关系的算法

冠状动脉的作用是为心肌提供足够的血液。冠状动脉阻塞限制了血液供应，并导致了心肌缺血或急性心肌梗塞，这是人类死亡的主要原因。因此，量化冠状动脉阻塞对心肌的局部量在临床医学中具有至关重要的价值。但是，常规方法不准确并且经常与临床实践不一致。这项研究提出了一种新颖的基于中轴的对应（Medial-ABC）算法，以找到心肌与冠状动脉之间的对应关系，从而分割处于任何潜在阻塞性冠状动脉风险的区域性心肌。给定冠状动脉和心肌的三角形网格模型，提出的算法（i）计算冠状动脉的中轴，（ii）使用冠状动脉的中轴找到对应关系，并且（iii）分割冠状动脉和心肌。所提出的算法在处于风险的心肌与供应冠状动脉之间提供了稳健的数学联系，从而可以准确地识别缺血性心肌区域。因此，可以有效，有效和准确地定量心肌缺血的程度和严重性。此外，可以对分段的冠状动脉和心肌的网格模型进行后处理，以用于诸如构建心脏系统的优化模型之类的应用。的 所提出的算法在处于风险的心肌与供应冠状动脉之间提供了稳健的数学联系，从而可以准确地识别缺血性心肌区域。因此，可以有效，有效和准确地定量心肌缺血的程度和严重性。此外，可以对分段的冠状动脉和心肌的网格模型进行后处理，以用于诸如构建心脏系统的优化模型之类的应用。的 所提出的算法在处于风险的心肌与供应冠状动脉之间提供了稳健的数学联系，从而可以准确地识别缺血性心肌区域。因此，可以有效，有效和准确地定量心肌缺血的程度和严重性。此外，可以对分段的冠状动脉和心肌的网格模型进行后处理，以用于诸如构建心脏系统的优化模型之类的应用。的实施Medial-ABC算法的CardiacVis程序可在Voronoi图研究中心（http://voronoi.hanyang.ac.kr/software/cardiacvis）免费获得，它将是定量评估特定患者风险分层的宝贵工具。临床实践。