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A nonlinear multi-scale model for blood circulation in a realistic vascular system

In the last decade, numerical models have become an increasingly important tool in biological and medical science. Numerical simulations contribute to a deeper understanding of physiology and are a powerful tool for better diagnostics and treatment. In this paper, a nonlinear multi-scale model frame...

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Autores principales: Qohar, Ulin Nuha A., Zanna Munthe-Kaas, Antonella, Nordbotten, Jan Martin, Hanson, Erik Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633777/
https://www.ncbi.nlm.nih.gov/pubmed/34966547
http://dx.doi.org/10.1098/rsos.201949
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author Qohar, Ulin Nuha A.
Zanna Munthe-Kaas, Antonella
Nordbotten, Jan Martin
Hanson, Erik Andreas
author_facet Qohar, Ulin Nuha A.
Zanna Munthe-Kaas, Antonella
Nordbotten, Jan Martin
Hanson, Erik Andreas
author_sort Qohar, Ulin Nuha A.
collection PubMed
description In the last decade, numerical models have become an increasingly important tool in biological and medical science. Numerical simulations contribute to a deeper understanding of physiology and are a powerful tool for better diagnostics and treatment. In this paper, a nonlinear multi-scale model framework is developed for blood flow distribution in the full vascular system of an organ. We couple a quasi one-dimensional vascular graph model to represent blood flow in larger vessels and a porous media model to describe flow in smaller vessels and capillary bed. The vascular model is based on Poiseuille’s Law, with pressure correction by elasticity and pressure drop estimation at vessels' junctions. The porous capillary bed is modelled as a two-compartment domain (artery and venous) using Darcy’s Law. The fluid exchange between the artery and venous capillary bed compartments is defined as blood perfusion. The numerical experiments show that the proposed model for blood circulation: (i) is closely dependent on the structure and parameters of both the larger vessels and of the capillary bed, and (ii) provides a realistic blood circulation in the organ. The advantage of the proposed model is that it is complex enough to reliably capture the main underlying physiological function, yet highly flexible as it offers the possibility of incorporating various local effects. Furthermore, the numerical implementation of the model is straightforward and allows for simulations on a regular desktop computer.
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spelling pubmed-86337772021-12-28 A nonlinear multi-scale model for blood circulation in a realistic vascular system Qohar, Ulin Nuha A. Zanna Munthe-Kaas, Antonella Nordbotten, Jan Martin Hanson, Erik Andreas R Soc Open Sci Mathematics In the last decade, numerical models have become an increasingly important tool in biological and medical science. Numerical simulations contribute to a deeper understanding of physiology and are a powerful tool for better diagnostics and treatment. In this paper, a nonlinear multi-scale model framework is developed for blood flow distribution in the full vascular system of an organ. We couple a quasi one-dimensional vascular graph model to represent blood flow in larger vessels and a porous media model to describe flow in smaller vessels and capillary bed. The vascular model is based on Poiseuille’s Law, with pressure correction by elasticity and pressure drop estimation at vessels' junctions. The porous capillary bed is modelled as a two-compartment domain (artery and venous) using Darcy’s Law. The fluid exchange between the artery and venous capillary bed compartments is defined as blood perfusion. The numerical experiments show that the proposed model for blood circulation: (i) is closely dependent on the structure and parameters of both the larger vessels and of the capillary bed, and (ii) provides a realistic blood circulation in the organ. The advantage of the proposed model is that it is complex enough to reliably capture the main underlying physiological function, yet highly flexible as it offers the possibility of incorporating various local effects. Furthermore, the numerical implementation of the model is straightforward and allows for simulations on a regular desktop computer. The Royal Society 2021-12-01 /pmc/articles/PMC8633777/ /pubmed/34966547 http://dx.doi.org/10.1098/rsos.201949 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Mathematics
Qohar, Ulin Nuha A.
Zanna Munthe-Kaas, Antonella
Nordbotten, Jan Martin
Hanson, Erik Andreas
A nonlinear multi-scale model for blood circulation in a realistic vascular system
title A nonlinear multi-scale model for blood circulation in a realistic vascular system
title_full A nonlinear multi-scale model for blood circulation in a realistic vascular system
title_fullStr A nonlinear multi-scale model for blood circulation in a realistic vascular system
title_full_unstemmed A nonlinear multi-scale model for blood circulation in a realistic vascular system
title_short A nonlinear multi-scale model for blood circulation in a realistic vascular system
title_sort nonlinear multi-scale model for blood circulation in a realistic vascular system
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633777/
https://www.ncbi.nlm.nih.gov/pubmed/34966547
http://dx.doi.org/10.1098/rsos.201949
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