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PMID: 33008714 Published · ppublish English Journal Article

A novel formulation for the study of the ascending aortic fluid dynamics with in vivo data.

Medical engineering & physics ·Vol. 91 ·2021-00-00 ·页码 68-78

Capellini K, Gasparotti E, Cella U, Costa E, Fanni BM, Groth C, Porziani S, Biancolini ME, Celi S

Abstract

Numerical simulations to evaluate thoracic aortic hemodynamics include a computational fluid dynamic (CFD) approach or fluid-structure interaction (FSI) approach. While CFD neglects the arterial deformation along the cardiac cycle by applying a rigid wall simplification, on the other side the FSI simulation requires a lot of assumptions for the material properties definition and high computational costs. The aim of this study is to investigate the feasibility of a new strategy, based on Radial Basis Functions (RBF) mesh morphing technique and transient simulations, able to introduce the patient-specific changes in aortic geometry during the cardiac cycle. Starting from medical images, aorta models at different phases of cardiac cycle were reconstructed and a transient shape deformation was obtained by proper activating incremental RBF solutions during the simulation process. The results, in terms of main hemodynamic parameters, were compared with two performed CFD simulations for the aortic model at minimum and maximum volume. Our implemented strategy copes the actual arterial variation during cardiac cycle with high accuracy, capturing the impact of geometrical variations on fluid dynamics, overcoming the complexity of a standard FSI approach.

Keywords
Aorta Computational fluid dynamics Mesh morphing Radial basis functions
MeSH 主题词
Aorta Aorta, Thoracic Computer Simulation Hemodynamics Humans Hydrodynamics Models, Cardiovascular
作者与单位
共 9 位作者,点击展开单位 / ORCID
Capellini Katia
BioCardioLab, Fondazione Toscana Gabriele Monasterio, Massa, Italy; Department of Information Engineering, University of Pisa, Pisa, Italy.
Gasparotti Emanuele
BioCardioLab, Fondazione Toscana Gabriele Monasterio, Massa, Italy; Department of Information Engineering, University of Pisa, Pisa, Italy.
Cella Ubaldo
Department of Enterprise Engineering, University of Rome Tor Vergata, Rome, Italy.
Costa Emiliano
RINA Consulting SpA, Rome, Italy.
Fanni Benigno Marco
BioCardioLab, Fondazione Toscana Gabriele Monasterio, Massa, Italy; Department of Information Engineering, University of Pisa, Pisa, Italy.
Groth Corrado
Department of Enterprise Engineering, University of Rome Tor Vergata, Rome, Italy.
Porziani Stefano
Department of Enterprise Engineering, University of Rome Tor Vergata, Rome, Italy.
Biancolini Marco Evangelos
Department of Enterprise Engineering, University of Rome Tor Vergata, Rome, Italy.
Celi Simona
BioCardioLab, Fondazione Toscana Gabriele Monasterio, Massa, Italy. Electronic address: [email protected].
Article Info
Journal
Medical engineering & physics
Abbr.
Med Eng Phys
ISSN
1873-4030
Corresponding email
Published
2021-00-00
电子出版
2020-00-18
页码
68-78
Language
English
Country/Region
England
NLM ID
9422753
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