Post-processing of coronary and myocardial spatial data (original) (raw)

Mackenzie, Jay A. ORCID logoORCID: https://orcid.org/0000-0002-0144-1479, Miller, Megan J., Olufsen, Mette S. and Hill, Nicholas A. ORCID logoORCID: https://orcid.org/0000-0003-3079-828X(2025) Post-processing of coronary and myocardial spatial data.Computers in Biology and Medicine, 196(Part C), 110868. (doi: 10.1016/j.compbiomed.2025.110868)

Abstract

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.

Item Type: Articles
Additional Information: This research was supported by the UK Engineering and Physical Sciences Research Council (EP/N014642/1, EP/T017899/1), and the National Science Foundation, United States via award 1615820.
Keywords: Coronary arterial system, tree pruning, arterial networks, myocardial perfusion, Strahler order.
Status: Published
Refereed: Yes
Glasgow Author(s) Enlighten ID: Hill, Professor Nicholas and Mackenzie, Dr Jay
Creator Roles: Mackenzie, J. A.Writing – original draft, Visualization, Validation, Software, Methodology, Formal analysis, Data curation, ConceptualizationHill, N. A.Writing – review and editing, Supervision, Resources, Funding acquisition
Authors: Mackenzie, J. A., Miller, M. J., Olufsen, M. S., and Hill, N. A.
College/School: College of Science and Engineering > School of Mathematics and Statistics > Mathematics
Journal Name: Computers in Biology and Medicine
Publisher: Elsevier
ISSN: 0010-4825
ISSN (Online): 1879-0534
Published Online: 11 August 2025
Copyright Holders: Copyright © 2025 The Authors
First Published: First published in Computers in Biology and Medicine 196(Part C): 110868
Publisher Policy: Reproduced under a Creative Commons license

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Funder and Project Information

EPSRC Centre for Multiscale soft tissue mechanics with application to heart & cancer

Raymond Ogden

EP/N014642/1

M&S - Mathematics

The SofTMech Statistical Emulation and Translation Hub

Dirk Husmeier

EP/T017899/1

M&S - Statistics

Deposit and Record Details

ID Code: 361200
Depositing User: Mr Matt Mahon
Datestamp: 12 Aug 2025 10:05
Last Modified: 25 Aug 2025 08:37
Date of acceptance: 29 July 2025
Date of first online publication: 11 August 2025
Date Deposited: 12 August 2025
Data Availability Statement: Yes