Literature DB >> 31653498

A workflow for patient-specific fluid-structure interaction analysis of the mitral valve: A proof of concept on a mitral regurgitation case.

Benedetta Biffi1, Maurizio Gritti2, Agata Grasso3, Elena G Milano4, Marianna Fontana2, Hamad Alkareef4, Joseph Davar3, Paramijit Jeetley3, Carol Whelan3, Sarah Anderson2, Donatella Lorusso2, Emilie Sauvage4, Giorgia Maria Bosi4, Silvia Schievano4, Claudio Capelli4.   

Abstract

The mechanics of the mitral valve (MV) are the result of the interaction of different anatomical structures complexly arranged within the left heart (LH), with the blood flow. MV structure abnormalities might cause valve regurgitation which in turn can lead to heart failure. Patient-specific computational models of the MV could provide a personalised understanding of MV mechanics, dysfunctions and possible interventions. In this study, we propose a semi-automatic pipeline for MV modelling based on the integration of state-of-the-art medical imaging, i.e. cardiac magnetic resonance (CMR) and 3D transoesophageal-echocardiogram (TOE) with fluid-structure interaction (FSI) simulations. An FSI model of a patient with MV regurgitation was implemented using the finite element (FE) method and smoothed particle hydrodynamics (SPH). Our study showed the feasibility of combining image information and computer simulations to reproduce patient-specific MV mechanics as seen on medical images, and the potential for efficient in-silico studies of MV disease, personalised treatments and device design.
Copyright © 2019 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3D transoesophageal-echocardiogram; Cardiac magnetic resonance; Fluid-structure interaction simulations; Left heart; Mitral valve; Patient-specific modelling; Smoothed particles hydrodynamics

Mesh:

Year:  2019        PMID: 31653498     DOI: 10.1016/j.medengphy.2019.09.020

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  5 in total

1.  A Computational Framework for Atrioventricular Valve Modeling Using Open-Source Software.

Authors:  Wensi Wu; Stephen Ching; Steve A Maas; Andras Lasso; Patricia Sabin; Jeffrey A Weiss; Matthew A Jolley
Journal:  J Biomech Eng       Date:  2022-10-01       Impact factor: 1.899

Review 2.  Clinical Impact of Computational Heart Valve Models.

Authors:  Milan Toma; Shelly Singh-Gryzbon; Elisabeth Frankini; Zhenglun Alan Wei; Ajit P Yoganathan
Journal:  Materials (Basel)       Date:  2022-05-05       Impact factor: 3.748

3.  Personalized intervention cardiology with transcatheter aortic valve replacement made possible with a non-invasive monitoring and diagnostic framework.

Authors:  Seyedvahid Khodaei; Alison Henstock; Reza Sadeghi; Stephanie Sellers; Philipp Blanke; Jonathon Leipsic; Ali Emadi; Zahra Keshavarz-Motamed
Journal:  Sci Rep       Date:  2021-05-25       Impact factor: 4.379

4.  Numerical biomechanics modelling of indirect mitral annuloplasty treatments for functional mitral regurgitation.

Authors:  Lee Galili; Adi White Zeira; Gil Marom
Journal:  R Soc Open Sci       Date:  2022-01-12       Impact factor: 2.963

Review 5.  Fluid-Structure Interaction Analyses of Biological Systems Using Smoothed-Particle Hydrodynamics.

Authors:  Milan Toma; Rosalyn Chan-Akeley; Jonathan Arias; Gregory D Kurgansky; Wenbin Mao
Journal:  Biology (Basel)       Date:  2021-03-02
  5 in total

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