Random walk diffusion simulations in semi-permeable layered media with varying diffusivity
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Published version
Author(s)
Alemany Juvanteny, Ignasi
Rose, Jan
Garnier-Brun, Jérôme
Scott, Andrew
Doorly, Denis
Type
Journal Article
Abstract
In this paper we present random walk based solutions to diffusion in semi-permeable layered media with varying diffusivity.
We propose a novel transit model for solving the interaction of random walkers with a membrane. This hybrid model is
based on treating the membrane permeability and the step change in diffusion coefficient as two interactions separated by
an infinitesimally small layer. By conducting an extensive analytical flux analysis, the performance of our hybrid model is
compared with a commonly used membrane transit model (reference model). Numerical simulations demonstrate the limitations
of the reference model in dealing with step changes in diffusivity and show the capability of the hybrid model to overcome
this limitation and to offer substantial gains in computational efficiency. The suitability of both random walk transit models
for the application to simulations of diffusion tensor cardiovascular magnetic resonance (DT-CMR) imaging is assessed in a
histology-based domain relevant to DT-CMR. In order to demonstrate the usefulness of the new hybrid model for other possible
applications, we also consider a larger range of permeabilities beyond those commonly found in biological tissues.
We propose a novel transit model for solving the interaction of random walkers with a membrane. This hybrid model is
based on treating the membrane permeability and the step change in diffusion coefficient as two interactions separated by
an infinitesimally small layer. By conducting an extensive analytical flux analysis, the performance of our hybrid model is
compared with a commonly used membrane transit model (reference model). Numerical simulations demonstrate the limitations
of the reference model in dealing with step changes in diffusivity and show the capability of the hybrid model to overcome
this limitation and to offer substantial gains in computational efficiency. The suitability of both random walk transit models
for the application to simulations of diffusion tensor cardiovascular magnetic resonance (DT-CMR) imaging is assessed in a
histology-based domain relevant to DT-CMR. In order to demonstrate the usefulness of the new hybrid model for other possible
applications, we also consider a larger range of permeabilities beyond those commonly found in biological tissues.
Date Issued
2022-06-24
Date Acceptance
2022-06-08
Citation
Scientific Reports, 2022, 12
ISSN
2045-2322
Publisher
Nature Publishing Group
Journal / Book Title
Scientific Reports
Volume
12
Copyright Statement
Open Access Tis article is licensed under a Creative Commons Attribution 4.0 International
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the
Creative Commons licence, and indicate if changes were made. Te images or other third party material in this
article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
© Te Author(s) 2022
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the
Creative Commons licence, and indicate if changes were made. Te images or other third party material in this
article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
© Te Author(s) 2022
License URL
Sponsor
British Heart Foundation
British Heart Foundation
British Heart Foundation
Identifier
https://www.nature.com/articles/s41598-022-14541-y
Grant Number
RE/13/4/30184
RG/19/1/34160
RG/19/1/34160
Subjects
Diffusion
Diffusion Magnetic Resonance Imaging
Diffusion Tensor Imaging
Heart
Magnetic Resonance Imaging
Heart
Magnetic Resonance Imaging
Diffusion Magnetic Resonance Imaging
Diffusion
Diffusion Tensor Imaging
Publication Status
Published