A computational model for microcirculation including Fahraeus-Lindqvist effect, plasma skimming and fluid exchange with the tissue interstitium.


Journal

International journal for numerical methods in biomedical engineering
ISSN: 2040-7947
Titre abrégé: Int J Numer Method Biomed Eng
Pays: England
ID NLM: 101530293

Informations de publication

Date de publication:
03 2019
Historique:
received: 18 03 2018
revised: 06 09 2018
accepted: 19 10 2018
pubmed: 26 10 2018
medline: 17 1 2020
entrez: 26 10 2018
Statut: ppublish

Résumé

We present a two-phase model for microcirculation that describes the interaction of plasma with red blood cells. The model takes into account of typical effects characterizing the microcirculation, such as the Fahraeus-Lindqvist effect and plasma skimming. Besides these features, the model describes the interaction of capillaries with the surrounding tissue. More precisely, the model accounts for the interaction of capillary transmural flow with the surrounding interstitial pressure. Furthermore, the capillaries are represented as one-dimensional channels with arbitrary, possibly curved configuration. The latter two features rely on the unique ability of the model to account for variations of flow rate and pressure along the axis of the capillary, according to a local differential formulation of mass and momentum conservation. Indeed, the model stands on a solid mathematical foundation, which is also addressed in this work. In particular, we present the model derivation, the variational formulation, and its approximation using the finite element method. Finally, we conclude the work with a comparative computational study of the importance of the Fahraeus-Lindqvist, plasma skimming, and capillary leakage effects on the distribution of flow in a microvascular network.

Identifiants

pubmed: 30358172
doi: 10.1002/cnm.3165
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3165

Informations de copyright

© 2018 John Wiley & Sons, Ltd.

Auteurs

Luca Possenti (L)

LaBS, Dipartimento di Chimica, Materiali e Ingegneria Chimica "Giulio Natta", Politecnico di Milano, Milan, Italy.

Simone di Gregorio (S)

LaBS, Dipartimento di Chimica, Materiali e Ingegneria Chimica "Giulio Natta", Politecnico di Milano, Milan, Italy.
MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy.

Fannie Maria Gerosa (FM)

Laboratoire Jacques-Louis Lions, UPMC, 4 place Jussieu 75005, Paris, France.

Giorgio Raimondi (G)

MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy.

Giustina Casagrande (G)

LaBS, Dipartimento di Chimica, Materiali e Ingegneria Chimica "Giulio Natta", Politecnico di Milano, Milan, Italy.

Maria Laura Costantino (ML)

LaBS, Dipartimento di Chimica, Materiali e Ingegneria Chimica "Giulio Natta", Politecnico di Milano, Milan, Italy.

Paolo Zunino (P)

MOX, Department of Mathematics, Politecnico di Milano, Milan, Italy.

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Classifications MeSH