4D flow evaluation of blood non-Newtonian behavior in left ventricle flow analysis.


Journal

Journal of biomechanics
ISSN: 1873-2380
Titre abrégé: J Biomech
Pays: United States
ID NLM: 0157375

Informations de publication

Date de publication:
15 04 2021
Historique:
received: 12 01 2021
accepted: 03 02 2021
pubmed: 26 2 2021
medline: 28 5 2021
entrez: 25 2 2021
Statut: ppublish

Résumé

Blood is generally modeled as a Newtonian fluid, assuming a standard and constant viscosity; however, this assumption may not hold for the highly pulsatile and recirculating intracavitary flow in the left ventricle (LV), hampering the quantification of fluid dynamic indices of potential clinical relevance. Herein, we investigated the effect of three viscosity models on the patient-specific quantification of LV blood energetics, namely on viscous energy loss (EL), from 4D Flow magnetic resonance imaging: I) Newtonian with standard viscosity (3.7 cP), II) Newtonian with subject-specific hematocrit-dependent viscosity, III) non-Newtonian accounting for the effect of hematocrit and shear rate. Analyses were performed on 5 controls and 5 patients with cardiac light-chain amyloidosis. In Model II, viscosity ranged between 3.0 (-19%) and 4.3 cP (+16%), mildly deviating from the standard value. In the non-Newtonian model, this effect was emphasized: viscosity ranged from 3.2 to 6.0 cP, deviating maximally from the standard value in low shear rate (i.e., <100 s

Identifiants

pubmed: 33631666
pii: S0021-9290(21)00088-9
doi: 10.1016/j.jbiomech.2021.110308
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

110308

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None of the authors have conflicts of interest to declare.

Auteurs

Alessandra Riva (A)

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy; 3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

Francesco Sturla (F)

3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Italy; Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy. Electronic address: francesco.sturla@grupposandonato.it.

Alessandro Caimi (A)

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Silvia Pica (S)

Multimodality Cardiac Imaging Section, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

Daniel Giese (D)

Siemens Healthcare GmbH, Erlangen, Germany.

Paolo Milani (P)

Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo and University of Pavia, Pavia, Italy.

Giovanni Palladini (G)

Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo and University of Pavia, Pavia, Italy.

Massimo Lombardi (M)

Multimodality Cardiac Imaging Section, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

Alberto Redaelli (A)

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Emiliano Votta (E)

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy; 3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

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Classifications MeSH