Computational Methods for Fluid-Structure Interaction Simulation of Heart Valves in Patient-Specific Left Heart Anatomies

Le, Trung Bao; Usta, Mustafa; Aidun, Cyrus K.; Yoganathan, Ajit P.; Sotiropoulos, Fotis

doi:10.3390/fluids7030094

Cited by 10 publications

(4 citation statements)

References 150 publications

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“…Modeling and evaluation of aortic valves performance has been developed by several authors using FSI [62][63][64][65][66][67] while studying the effect of valve shape and geometry on its performance, considering the large deformation of valve leaflets, as well as particular flow characteristics. 39,68 Is has been shown that altering specific angles of a structured stent can significantly lower peak stress on the leaflets, for instance. 66 With the numerical model that our team developed, we could not only find the optimal leaflet thickness, but also the most suitable valve design, reducing stress/strain on the leaflets.…”

Section: Discussionmentioning

confidence: 99%

Design, manufacturing and testing of a green non-isocyanate polyurethane prosthetic heart valve

Melo,

Nondonfaz,

Aqil

et al. 2024

Biomater. Sci.

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Section: Discussionmentioning

confidence: 99%

Design, manufacturing and testing of a green non-isocyanate polyurethane prosthetic heart valve

Melo,

Nondonfaz,

Aqil

et al. 2024

Biomater. Sci.

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show abstract

“…FSI (fluid-structure interaction) simulation of the aortic valve is a computational technique that combines computational fluid dynamics (CFD) and structural mechanics to analyze the behavior of the aortic valve under fluid flow conditions [155,195,196]. FSI and CFD applications are widely used in biomedical engineering [121,[197][198][199][200].…”

Section: Discussionmentioning

confidence: 99%

Fluid–Structure Interaction Aortic Valve Surgery Simulation: A Review

Kuchumov,

Makashova,

Vladimirov

et al. 2023

Fluids

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The complicated interaction between a fluid flow and a deformable structure is referred to as fluid–structure interaction (FSI). FSI plays a crucial role in the functioning of the aortic valve. Blood exerts stresses on the leaflets as it passes through the opening or shutting valve, causing them to distort and vibrate. The pressure, velocity, and turbulence of the fluid flow have an impact on these deformations and vibrations. Designing artificial valves, diagnosing and predicting valve failure, and improving surgical and interventional treatments all require the understanding and modeling of FSI in aortic valve dynamics. The most popular techniques for simulating and analyzing FSI in aortic valves are computational fluid dynamics (CFD) and finite element analysis (FEA). By studying the relationship between fluid flow and valve deformations, researchers and doctors can gain knowledge about the functioning of valves and possible pathological diseases. Overall, FSI is a complicated phenomenon that has a great impact on how well the aortic valve works. Aortic valve diseases and disorders can be better identified, treated, and managed by comprehending and mimicking this relationship. This article provides a literature review that compiles valve reconstruction methods from 1952 to the present, as well as FSI modeling techniques that can help advance valve reconstruction. The Scopus, PubMed, and ScienceDirect databases were used in the literature search and were structured into several categories. By utilizing FSI modeling, surgeons, researchers, and engineers can predict the behavior of the aortic valve before, during, and after surgery. This predictive capability can contribute to improved surgical planning, as it provides valuable insights into hemodynamic parameters such as blood flow patterns, pressure distributions, and stress analysis. Additionally, FSI modeling can aid in the evaluation of different treatment options and surgical techniques, allowing for the assessment of potential complications and the optimization of surgical outcomes. It can also provide valuable information on the long-term durability and functionality of prosthetic valves. In summary, fluid–structure interaction modeling is an effective tool for predicting the outcomes of aortic valve surgery. It can provide valuable insights into hemodynamic parameters and aid in surgical planning, treatment evaluation, and the optimization of surgical outcomes.

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“…It is noteworthy to mention that Newtonian behavior has been used to model the blood, which is adequate for shear rates >100 s −1 [46,47]. The fluid-structure interaction (FSI) has received significant attention in research related to cardiovascular modeling [48][49][50][51][52][53][54][55]. In this study, FSI only pertains to the convective heat-sink (cooling) effect induced by the blood flow during cardiac ablation, as the cardiac tissue has been modeled as a rigid body.…”

Section: Methodsmentioning

confidence: 99%

Three-Phase-Lag Bio-Heat Transfer Model of Cardiac Ablation

Singh

Saccomandi

Melnik

2022

Fluids

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Significant research efforts have been devoted in the past decades to accurately modelling the complex heat transfer phenomena within biological tissues. These modeling efforts and analysis have assisted in a better understanding of the intricacies of associated biological phenomena and factors that affect the treatment outcomes of hyperthermic therapeutic procedures. In this contribution, we report a three-dimensional non-Fourier bio-heat transfer model of cardiac ablation that accounts for the three-phase-lags (TPL) in the heat propagation, viz., lags due to heat flux, temperature gradient, and thermal displacement gradient. Finite element-based COMSOL Multiphysics software has been utilized to predict the temperature distributions and ablation volumes. A comparative analysis has been conducted to report the variation in the treatment outcomes of cardiac ablation considering different bio-heat transfer models. The effect of variations in the magnitude of different phase lags has been systematically investigated. The fidelity and integrity of the developed model have been evaluated by comparing the results of the developed model with the analytical results of the recent studies available in the literature. This study demonstrates the importance of considering non-Fourier lags within biological tissue for predicting more accurately the characteristics important for the efficient application of thermal therapies.

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Computational Methods for Fluid-Structure Interaction Simulation of Heart Valves in Patient-Specific Left Heart Anatomies

Cited by 10 publications

References 150 publications

Design, manufacturing and testing of a green non-isocyanate polyurethane prosthetic heart valve

Design, manufacturing and testing of a green non-isocyanate polyurethane prosthetic heart valve

Fluid–Structure Interaction Aortic Valve Surgery Simulation: A Review

Three-Phase-Lag Bio-Heat Transfer Model of Cardiac Ablation

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