A reduced order model formulation for left atrium flow: an atrial fibrillation case.

Autor: Balzotti C; Scuola Internazionale Superiore di Studi Avanzati (SISSA), Mathlab, Trieste, Italy., Siena P; Scuola Internazionale Superiore di Studi Avanzati (SISSA), Mathlab, Trieste, Italy., Girfoglio M; Scuola Internazionale Superiore di Studi Avanzati (SISSA), Mathlab, Trieste, Italy., Stabile G; The Biorobotics Institute, Sant'Anna School of Advanced Studies, Pisa, Italy., Dueñas-Pamplona J; Departamento de Ingeniería Energética, Universidad Politécnica de Madrid, Madrid, Spain., Sierra-Pallares J; Departamento de Ingeniería Energética y Fluidomecánica, Universidad de Valladolid, Valladolid, Spain., Amat-Santos I; Departamento de Ingeniería Energética y Fluidomecánica, Universidad de Valladolid, Valladolid, Spain.; Clinical University Hospital of Valladolid, Valladolid, Spain., Rozza G; Scuola Internazionale Superiore di Studi Avanzati (SISSA), Mathlab, Trieste, Italy. grozza@sissa.it.
Jazyk: angličtina
Zdroj: Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2024 Aug; Vol. 23 (4), pp. 1411-1429. Date of Electronic Publication: 2024 May 16.
DOI: 10.1007/s10237-024-01847-1
Abstrakt: A data-driven reduced order model (ROM) based on a proper orthogonal decomposition-radial basis function (POD-RBF) approach is adopted in this paper for the analysis of blood flow dynamics in a patient-specific case of atrial fibrillation (AF). The full order model (FOM) is represented by incompressible Navier-Stokes equations, discretized with a finite volume (FV) approach. Both the Newtonian and the Casson's constitutive laws are employed. The aim is to build a computational tool able to efficiently and accurately reconstruct the patterns of relevant hemodynamics indices related to the stasis of the blood in a physical parametrization framework including the cardiac output in the Newtonian case and also the plasma viscosity and the hematocrit in the non-Newtonian one. Many FOM-ROM comparisons are shown to analyze the performance of our approach as regards errors and computational speed-up.
(© 2024. The Author(s).)
Databáze: MEDLINE
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