An image-based computational fluid dynamics study of mitral regurgitation in presence of prolapse
Keywords
Advanced Numerical Methods for Scientific Computing
Computational Medicine for the Cardiocirculatory System
Living Systems and Precision Medicine
Code:
18/2022
Title:
An image-based computational fluid dynamics study of mitral regurgitation in presence of prolapse
Date:
Monday 11th April 2022
Author(s):
Bennati, L; Vergara, C; Giambruno, V; Fumagalli, I; Corno, A.F; Quarteroni, A; Puppini, G; Luciani, G.B
Abstract:
Purpose: In this work we performed an imaged-based computational
study of the systolic fluid dynamics in presence of Mitral Valve Regurgitation
(MVR). In particular, we compare healthy and different regurgitant
scenarios with the aim of quantifying different hemodynamic quantities.
Methods: We performed computational fluid dynamic (CFD) simulations
in the left ventricle, left atrium and aortic root, with a resistive
immersed method, a turbulence model, and with imposed systolic wall
motion reconstructed from Cine-MRI images, which allowed us to segment
also the mitral valve. For the regurgitant scenarios we considered
an increase of the heart rate and a dilation of the left ventricle.
Results: Our results highlighted that MVR gave rise to regurgitant
jets through the mitral orifice impinging against the atrial
walls and scratching against the mitral valve leading to high values
of Wall Shear Stresses (WSS) with respect to the healthy case.
Conclusion: CFD with prescribed wall motion and immersed mitral
valve revealed to be an effective tool to quantitatively describe hemodynamics
in the case of MVR and to compare different regurgitant
scenarios. Our findings highlighted in particular the presence of
transition to turbulence in the atrium and allowed us to quantify
some important cardiac indices such as cardiac output and WSS.