Key result
A new strategy based on Radial Basis Functions mesh morphing accurately captures the impact of geometrical variations on aortic fluid dynamics, overcoming the complexity of a standard FSI approach.
Why the study?
CFD simulations assume rigid walls neglecting arterial deformation, while FSI approaches require many material assumptions and high computational costs.
A novel RBF mesh morphing technique accurately models patient-specific aortic geometry changes during the cardiac cycle, offering a computationally efficient alternative to standard fluid-structure interaction approaches.
May enable efficient patient-specific aortic modeling; leaves open validation before clinical adoption.
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.
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Capellini et al. (2020) studied Thoracic aortic hemodynamics. Radial Basis Functions (RBF) mesh morphing technique vs. Standard computational fluid dynamic (CFD) simulations was evaluated on Main hemodynamic parameters. A new strategy based on Radial Basis Functions mesh morphing accurately captures the impact of geometrical variations on aortic fluid dynamics, overcoming the complexity of a standard FSI approach.
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