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Accounting for Tube Hematocrit in Modeling of Blood Flow in Cerebral Capillary Networks

The aim of this paper consists in the derivation of an analytic formula for the hydraulic resistance of capillaries, taking into account the tube hematocrit level. The consistency of the derived formula is verified using Finite Element simulations. Such an effective formula allows for assigning resi...

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Autores principales: Botkin, Nikolai D., Kovtanyuk, Andrey E., Turova, Varvara L., Sidorenko, Irina N., Lampe, Renée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721022/
https://www.ncbi.nlm.nih.gov/pubmed/31531122
http://dx.doi.org/10.1155/2019/4235937
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author Botkin, Nikolai D.
Kovtanyuk, Andrey E.
Turova, Varvara L.
Sidorenko, Irina N.
Lampe, Renée
author_facet Botkin, Nikolai D.
Kovtanyuk, Andrey E.
Turova, Varvara L.
Sidorenko, Irina N.
Lampe, Renée
author_sort Botkin, Nikolai D.
collection PubMed
description The aim of this paper consists in the derivation of an analytic formula for the hydraulic resistance of capillaries, taking into account the tube hematocrit level. The consistency of the derived formula is verified using Finite Element simulations. Such an effective formula allows for assigning resistances, depending on the hematocrit level, to the edges of networks modeling biological capillary systems, which extends our earlier models of blood flow through large capillary networks. Numerical simulations conducted for large capillary networks with random topologies demonstrate the importance of accounting for the hematocrit level for obtaining consistent results.
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spelling pubmed-67210222019-09-17 Accounting for Tube Hematocrit in Modeling of Blood Flow in Cerebral Capillary Networks Botkin, Nikolai D. Kovtanyuk, Andrey E. Turova, Varvara L. Sidorenko, Irina N. Lampe, Renée Comput Math Methods Med Research Article The aim of this paper consists in the derivation of an analytic formula for the hydraulic resistance of capillaries, taking into account the tube hematocrit level. The consistency of the derived formula is verified using Finite Element simulations. Such an effective formula allows for assigning resistances, depending on the hematocrit level, to the edges of networks modeling biological capillary systems, which extends our earlier models of blood flow through large capillary networks. Numerical simulations conducted for large capillary networks with random topologies demonstrate the importance of accounting for the hematocrit level for obtaining consistent results. Hindawi 2019-08-18 /pmc/articles/PMC6721022/ /pubmed/31531122 http://dx.doi.org/10.1155/2019/4235937 Text en Copyright © 2019 Nikolai D. Botkin et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Botkin, Nikolai D.
Kovtanyuk, Andrey E.
Turova, Varvara L.
Sidorenko, Irina N.
Lampe, Renée
Accounting for Tube Hematocrit in Modeling of Blood Flow in Cerebral Capillary Networks
title Accounting for Tube Hematocrit in Modeling of Blood Flow in Cerebral Capillary Networks
title_full Accounting for Tube Hematocrit in Modeling of Blood Flow in Cerebral Capillary Networks
title_fullStr Accounting for Tube Hematocrit in Modeling of Blood Flow in Cerebral Capillary Networks
title_full_unstemmed Accounting for Tube Hematocrit in Modeling of Blood Flow in Cerebral Capillary Networks
title_short Accounting for Tube Hematocrit in Modeling of Blood Flow in Cerebral Capillary Networks
title_sort accounting for tube hematocrit in modeling of blood flow in cerebral capillary networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721022/
https://www.ncbi.nlm.nih.gov/pubmed/31531122
http://dx.doi.org/10.1155/2019/4235937
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