  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.
