Clinical Impact of Computational Heart Valve Models

Author(s)

Toma, M., Singh-Gryzbon, S., Frankini, E., Wei, Z. (Alan), & Yoganathan, A. P.

Title

Clinical Impact of Computational Heart Valve Models

Date

2022

Publisher

MDPI AG

Subject

Aortic valve
Computational Analyses
Devices
Heart Valves
Mitral Valve
Pulmonary Valve
Repair
Tricuspid Valve

Language

English

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.

Source

Materials, Volume 15, Issue 9, May 2022, page 3302

Rights

© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Format

PDF

Type

Text

Bibliographic Citation

Toma M, Singh-Gryzbon S, Frankini E, Wei Z, Yoganathan AP. Clinical Impact of Computational Heart Valve Models. Materials. 2022; 15(9):3302. https://doi.org/10.3390/ma15093302

Files

materials-15-03302-v2.pdf

Citation

Toma, M., Singh-Gryzbon, S., Frankini, E., Wei, Z. (Alan), & Yoganathan, A. P., Clinical Impact of Computational Heart Valve Models. Materials, Volume 15, Issue 9, May 2022, page 3302, New York Tech Institutional Repository, accessed October 11, 2024, https://repository.nyitlibrary.org/items/show/3729

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