Coupling one-dimensional arterial blood flow to three-dimensional tissue perfusion models for in silico trials of acute ischaemic stroke

Padmos, Raymond M, Jozsa, Tamas I, El-Bouri, Wahbi K ORCID: 0000-0002-2732-5927, Konduri, Praneeta R, Payne, Stephen J and Hoekstra, Alfons G (2021) Coupling one-dimensional arterial blood flow to three-dimensional tissue perfusion models for in silico trials of acute ischaemic stroke. INTERFACE FOCUS, 11 (1). 20190125-.

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Official URL: http://dx.doi.org/10.1098/rsfs.2019.0125

Abstract

An acute ischaemic stroke is due to the sudden blockage of an intracranial blood vessel by an embolized thrombus. In the context of setting up in silico trials for the treatment of acute ischaemic stroke, the effect of a stroke on perfusion and metabolism of brain tissue should be modelled to predict final infarcted brain tissue. This requires coupling of blood flow and tissue perfusion models. A one-dimensional intracranial blood flow model and a method to couple this to a brain tissue perfusion model for patient-specific simulations is presented. Image-based patient-specific data on the anatomy of the circle of Willis are combined with literature data and models for vessel anatomy not visible in the images, to create an extended model for each patient from the larger vessels down to the pial surface. The coupling between arterial blood flow and tissue perfusion occurs at the pial surface through the estimation of perfusion territories. The coupling method is able to accurately estimate perfusion territories. Finally, we argue that blood flow can be approximated as steady-state flow at the interface between arterial blood flow and tissue perfusion to reduce the cost of organ-scale simulations.

Item Type:	Article
Uncontrolled Keywords:	one-dimensional blood flow model, perfusion territories, cerebral perfusion, acute ischaemic stroke
Depositing User:	Symplectic Admin
Date Deposited:	12 Jan 2021 10:50
Last Modified:	14 Oct 2023 08:25
DOI:	10.1098/rsfs.2019.0125
Open Access URL:	http://doi.org/10.1098/rsfs.2019.0125
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3111820