A novel formulation for the study of the ascending aortic fluid dynamics with in vivo data. (May 2021)

• Record Type: Journal Article
• Authors: Capellini, Katia; Gasparotti, Emanuele; Cella, Ubaldo; Costa, Emiliano; Fanni, Benigno Marco; Groth, Corrado; Porziani, Stefano; Biancolini, Marco Evangelos; Celi, Simona
• Is Part Of: Medical engineering & physics. Volume 91(2021)
• Page Start: 68
• Page End: 78
• Publication Date: 2021-05
• Subjects: Aorta -- Computational fluid dynamics -- Radial basis functions -- Mesh morphing; Biomedical engineering -- Periodicals; Biomedical Engineering -- Periodicals; Physics -- Periodicals; Génie biomédical -- Périodiques; Biomedical engineering; Electronic journals; Periodicals; 610.28
• DOI: 10.1016/j.medengphy.2020.09.005
• Languages: English
• ISSNs: 1350-4533

Abstract

Highlights: Numerical simulations have a crucial role in the investigation of aorta. Changes in wall geometries during cardiac cycle influence aortic fluid dynamic. RBF mesh morphing technique is able to generate transient shape deformations. A transient prescribed wall motion simulation can overcome FSI required assumptions. Graphical abstract: 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.