2022/07/29 by Jay Aodh Mackenzie, Mackenzie, Jay Aodh, Miller, Megan Jeanne +2
Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #Computer Vision and Pattern Recognition (cs.CV) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences
paper · pdf · doi:10.48550/arxiv.2207.14624
openalex publication_date 2022/07/29 · openalex created_date 2022/08/02 · openalex updated_date 2026/07/28
Numerical simulations of real-world phenomena require a computational scheme and a computational domain. In the context of haemodynamics, the computational domain is the blood vessel network through which blood flows. Such networks contain millions of vessels that are joined in series and in parallel. It is computationally unfeasible to explicitly simulate blood flow throughout the network. From a single porcine left coronary arterial tree, we develop a data pipeline to obtain computational domains for haemodynamic simulations in the myocardium from a graph representing a partial coronary arterial tree. In addition, we develop a method to ascertain which subregions of the left-ventricular wall are more likely to be perfused via a given artery, using a comparison with the American Heart Association division of the left ventricle for validation.