Literature DB >> 26577230

Asymptotic Model of Fluid-Tissue Interaction for Mitral Valve Dynamics.

Federico Domenichini1, Gianni Pedrizzetti2.   

Abstract

The vortex formation process inside the left ventricle is intrinsically connected to the dynamics of the mitral leaflets while they interact with the flow crossing the valve during diastole. The description of the dynamics of a natural mitral valve still represents a challenging issue, especially because its material properties are not measurable in vivo. Medical imaging can provide some indications about the geometry of the valve, but not about its mechanical properties. In this work, we introduce a parametric model of the mitral valve geometry, whose motion is described in the asymptotic limit under the assumption that it moves with the flow, without any additional resistance other than that given by its shape, and without the need to specify its material properties. The mitral valve model is coupled with a simple description of the left ventricle geometry, and their dynamics is solved numerically together with the equations ruling the blood flow. The intra-ventricular flow is analyzed in its relationship with the valvular motion. It is found that the initial valve opening anticipates the peak velocity of the Early filling wave with little influence of the specific geometry; while subsequent closure and re-opening are more dependent on the intraventricular vortex dynamics and thus on the leaflets' geometry itself. The limitations and potential applications of the proposed model are discussed.

Keywords:  Cardiovascular fluid dynamics; Left ventricle; Mitral valve; Vortex formation

Mesh:

Year:  2014        PMID: 26577230     DOI: 10.1007/s13239-014-0201-y

Source DB:  PubMed          Journal:  Cardiovasc Eng Technol        ISSN: 1869-408X            Impact factor:   2.495


  10 in total

Review 1.  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

2.  Fluid-structure interaction and structural analyses using a comprehensive mitral valve model with 3D chordal structure.

Authors:  Milan Toma; Daniel R Einstein; Charles H Bloodworth; Richard P Cochran; Ajit P Yoganathan; Karyn S Kunzelman
Journal:  Int J Numer Method Biomed Eng       Date:  2016-07-28       Impact factor: 2.747

Review 3.  Geometric description for the anatomy of the mitral valve: A review.

Authors:  Diana Oliveira; Janaki Srinivasan; Daniel Espino; Keith Buchan; Dana Dawson; Duncan Shepherd
Journal:  J Anat       Date:  2020-04-03       Impact factor: 2.921

4.  Numerical prediction of thrombus risk in an anatomically dilated left ventricle: the effect of inflow cannula designs.

Authors:  Sam Liao; Benjamin Simpson; Michael Neidlin; Tim A S Kaufmann; Zhiyong Li; Maria A Woodruff; Shaun D Gregory
Journal:  Biomed Eng Online       Date:  2016-12-28       Impact factor: 2.819

5.  Modelling mitral valvular dynamics-current trend and future directions.

Authors:  Hao Gao; Nan Qi; Liuyang Feng; Xingshuang Ma; Mark Danton; Colin Berry; Xiaoyu Luo
Journal:  Int J Numer Method Biomed Eng       Date:  2017-02-16       Impact factor: 2.747

6.  Effects of the atrium on intraventricular flow patterns during mechanical circulatory support.

Authors:  Mojgan Ghodrati; Thomas Schlöglhofer; Alexander Maurer; Thananya Khienwad; Daniel Zimpfer; Dietrich Beitzke; Francesco Zonta; Francesco Moscato; Heinrich Schima; Philipp Aigner
Journal:  Int J Artif Organs       Date:  2021-10-29       Impact factor: 1.595

7.  Left atrial appendage occlusion in ventricular assist device patients to decrease thromboembolic events: A computer simulation study.

Authors:  Mojgan Ghodrati-Misek; Thomas Schlöglhofer; Christoph Gross; Alexander Maurer; Daniel Zimpfer; Dietrich Beitzke; Francesco Zonta; Francesco Moscato; Heinrich Schima; Philipp Aigner
Journal:  Front Physiol       Date:  2022-09-29       Impact factor: 4.755

8.  Computational fluid dynamics modelling of left valvular heart diseases during atrial fibrillation.

Authors:  Stefania Scarsoglio; Andrea Saglietto; Fiorenzo Gaita; Luca Ridolfi; Matteo Anselmino
Journal:  PeerJ       Date:  2016-07-26       Impact factor: 2.984

Review 9.  Application of Patient-Specific Computational Fluid Dynamics in Coronary and Intra-Cardiac Flow Simulations: Challenges and Opportunities.

Authors:  Liang Zhong; Jun-Mei Zhang; Boyang Su; Ru San Tan; John C Allen; Ghassan S Kassab
Journal:  Front Physiol       Date:  2018-06-26       Impact factor: 4.566

10.  Analysis of mitral valve regurgitation by computational fluid dynamics.

Authors:  Dario Collia; Luigino Zovatto; Gianni Pedrizzetti
Journal:  APL Bioeng       Date:  2019-08-23
  10 in total

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