Numerical simulations of real-world phenomenon are implemented with at least two parts: the computational scheme and the computational domain. In the context of hemodynamics, the computational domain of a simulation represents the blood vessel network through which blood flows. Such blood vessel networks can contain millions of individual vessels that are joined together to form a in series and parallel to form the network. It is computationally unfeasible to explicitly simulate blood flow in all blood vessels. Here, from imaged data of a single porcine left coronary arterial tree, we develop a data-pipeline to obtain computational domains for hemodynmaic simulations from a graph representing the coronary vascular tree. Further, we develop a method to ascertain which subregions of the left ventricle are most likely to be perfused via a given artery using a comparison with the American Heart Association division of the left ventricle as a sense check.

翻译：现实世界现象的数值模拟至少包含两个部分：计算方案和计算域。在血液动力学背景下，模拟的计算域代表血液流经的血管网络。此类血管网络可包含数百万个独立的血管，这些血管以串联和并联方式连接形成网络。对所有血管中的血流进行显式模拟在计算上不可行。本文基于单头猪左冠状动脉树的成像数据，开发了一个数据处理流水线，用于从表示冠状动脉血管树的图中获取血液动力学模拟的计算域。此外，我们提出了一种方法，通过与左心室美国心脏协会分区进行对比验证，从而确定左心室哪些子区域最可能通过给定动脉进行灌注。