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
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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.