What is it about?
Here, we examine the link between valve stiffness and mass and the hemodynamic environment in the aorta by coupling magnetic resonance imaging (MRI) with high-resolution fluid-structure interaction (FSI) computational fluid dynamics to stimulate blood flow in a patient-specific model. The FSI simulations were designed to investigate systematically progressively higher levels of valve stiffness by increasing valve thickness and quantifying hemodynamic parameters known to be linked to aortopathy and valve disease.
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Why is it important?
The computed results reveal dramatic differences in all hemodynamic parameters: (1) the geometric orifice area (GOA), (2) the maximum velocity Vmax of the jet passing through the aortic orifice area, (3) the rate of energy dissipation ˙Ediss(t), (4) the total loss of energy Ediss(t), (5) the kinetic energy of the blood flow Ekin(t), and (6) the average magnitude of vorticity Wa(t), illustrating the change in hemodynamics that occur due to the presence of aortic valve stenosis.
Perspectives
Although the results presented here related to valve calcification, the approach used is capable of handling many other scenarios for which the requisite data are available. Even the specific (and approximate) model of a calcified valve, used here as an example, demonstrates that reliable and useful information regarding hemodynamic changes downstream from the affected valve could be extracted using FSI algorithms described in this work
Dr Anvar Gilmanov
University of Minnesota Twin Cities
Read the Original
This page is a summary of: Image-Guided Fluid-Structure Interaction Simulation of Transvalvular Hemodynamics: Quantifying the Effects of Varying Aortic Valve Leaflet Thickness, Fluids, June 2019, MDPI AG,
DOI: 10.3390/fluids4030119.
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