Literature DB >> 25955008

A review of fluid-structure interaction simulations of prosthetic heart valves.

Iman Borazjani1.   

Abstract

Dysfunctional natural heart valves are replaced with prosthetic heart valves through surgery. However, prosthetic valves are far from ideal. Bioprosthetic heart valves (BHVs) suffer from early calcification and structural damages. Mechanical heart valves (MHVs) are durable but highly thrombogenic and require lifelong anticoagulant treatment. These complications are believed to be related to nonphysiologic flow patterns created by these valves. Fluid-structure interaction (FSI) simulations are essential in revealing the hemodynamics of these valves. By combining the three-dimensional (3D) flow field obtained from realistic FSI simulations with platelet activation models, nonphysiologic flow patterns can be identified. In this review paper, state-of-the-art methods for simulating FSI in heart valves are reviewed, and the flow physics uncovered by FSI simulations are discussed. Finally, the limitations of current methods are discussed, and future research directions are proposed as follows: (1) incorporation of realistic, image-based ventricle and atrium geometries; (2) comparing MHV and BHV under similar conditions to identify nonphysiologic flow patterns; (3) developing better models to estimate platelet activation potential to be incorporated into the simulations; and (4) identifying the optimum placement of the valves in both mitral and aortic positions.

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Year:  2015        PMID: 25955008     DOI: 10.1615/jlongtermeffmedimplants.2015011791

Source DB:  PubMed          Journal:  J Long Term Eff Med Implants        ISSN: 1050-6934


  5 in total

1.  A non-dimensional parameter for classification of the flow in intracranial aneurysms. II. Patient-specific geometries.

Authors:  Hafez Asgharzadeh; Hossein Asadi; Hui Meng; Iman Borazjani
Journal:  Phys Fluids (1994)       Date:  2019-03-26       Impact factor: 3.521

Review 2.  Review of numerical methods for simulation of mechanical heart valves and the potential for blood clotting.

Authors:  Mohamad Shukri Zakaria; Farzad Ismail; Masaaki Tamagawa; Ahmad Fazli Abdul Aziz; Surjatin Wiriadidjaja; Adi Azrif Basri; Kamarul Arifin Ahmad
Journal:  Med Biol Eng Comput       Date:  2017-07-26       Impact factor: 2.602

3.  Automatic segmentation of the left ventricle in echocardiographic images using convolutional neural networks.

Authors:  Taeouk Kim; Mohammadali Hedayat; Veronica V Vaitkus; Marek Belohlavek; Vinayak Krishnamurthy; Iman Borazjani
Journal:  Quant Imaging Med Surg       Date:  2021-05

4.  Effects of Reynolds and Womersley Numbers on the Hemodynamics of Intracranial Aneurysms.

Authors:  Hafez Asgharzadeh; Iman Borazjani
Journal:  Comput Math Methods Med       Date:  2016-10-26       Impact factor: 2.238

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

  5 in total

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