Clinical Impact of Computational Heart Valve Models

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Abstract

This paper provides a review of engineering applications and computational methods used to analyze the dynamics of heart valve closures in healthy and diseased states. Computational methods are a cost-effective tool that can be used to evaluate the flow parameters of heart valves. Valve repair and replacement have long-term stability and biocompatibility issues, highlighting the need for a more robust method for resolving valvular disease. For example, while fluid–structure interaction analyses are still scarcely utilized to study aortic valves, computational fluid dynamics is used to assess the effect of different aortic valve morphologies on velocity profiles, flow patterns, helicity, wall shear stress, and oscillatory shear index in the thoracic aorta. It has been analyzed that computational flow dynamic analyses can be integrated with other methods to create a superior, more compatible method of understanding risk and compatibility.

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Toma, M., Singh-Gryzbon, S., Frankini, E., Wei, Z., & Yoganathan, A. P. (2022, May 1). Clinical Impact of Computational Heart Valve Models. Materials. MDPI. https://doi.org/10.3390/ma15093302

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