Relevant bibliographies by topics / Heart valve modeling

Academic literature on the topic 'Heart valve modeling'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Heart valve modeling"

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Fallahiarezoudar, Ehsan, Mohaddeseh Ahmadipourroudposht, and Noordin Mohd Yusof. "Geometric Modeling of Aortic Heart Valve." Procedia Manufacturing 2 (2015): 135–40. http://dx.doi.org/10.1016/j.promfg.2015.07.024.

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Zhu, Amadeus S., and K. Jane Grande-Allen. "Heart valve tissue engineering for valve replacement and disease modeling." Current Opinion in Biomedical Engineering 5 (March 2018): 35–41. http://dx.doi.org/10.1016/j.cobme.2017.12.006.

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Pasta, Salvatore, and Caterina Gandolfo. "Pre-Operative Modeling of Transcatheter Mitral Valve Replacement in a Surgical Heart Valve Bioprosthesis." Prosthesis 2, no. 1 (March 20, 2020): 39–45. http://dx.doi.org/10.3390/prosthesis2010004.

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Obstruction of the left ventricular outflow tract (LVOT) is a common complication of transcatheter mitral valve replacement (TMVR). This procedure can determine an elongation of an LVOT (namely, the neo-LVOT), ultimately portending hemodynamic impairment and patient death. This study aimed to understand the biomechanical implications of LVOT obstruction in a patient who underwent TMVR using a transcatheter heart valve (THV) to repair a failed bioprosthetic heart valve. We first reconstructed the heart anatomy and the bioprosthetic heart valve to virtually implant a computer-aided-design (CAD) model of THV and evaluate the neo-LVOT area. A numerical simulation of THV deployment was then developed to assess the anchorage of the THV to the bioprosthetic heart valve as well as the resulting Von Mises stress at the mitral annulus and the contract pressure among implanted bioprostheses. Quantification of neo-LVOT and THV deployment may facilitate more accurate predictions of the LVOT obstruction in TMVR and help clinicians in the optimal choice of the THV size.
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Earl, Emily, and Hadi Mohammadi. "Improving finite element results in modeling heart valve mechanics." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 232, no. 7 (June 7, 2018): 718–25. http://dx.doi.org/10.1177/0954411918780150.

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Finite element analysis is a well-established computational tool which can be used for the analysis of soft tissue mechanics. Due to the structural complexity of the leaflet tissue of the heart valve, the currently available finite element models do not adequately represent the leaflet tissue. A method of addressing this issue is to implement computationally expensive finite element models, characterized by precise constitutive models including high-order and high-density mesh techniques. In this study, we introduce a novel numerical technique that enhances the results obtained from coarse mesh finite element models to provide accuracy comparable to that of fine mesh finite element models while maintaining a relatively low computational cost. Introduced in this study is a method by which the computational expense required to solve linear and nonlinear constitutive models, commonly used in heart valve mechanics simulations, is reduced while continuing to account for large and infinitesimal deformations. This continuum model is developed based on the least square algorithm procedure coupled with the finite difference method adhering to the assumption that the components of the strain tensor are available at all nodes of the finite element mesh model. The suggested numerical technique is easy to implement, practically efficient, and requires less computational time compared to currently available commercial finite element packages such as ANSYS and/or ABAQUS.
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Ahmed, N. U. "Mathematical problems in modeling artificial heart." Mathematical Problems in Engineering 1, no. 3 (1995): 245–54. http://dx.doi.org/10.1155/s1024123x95000159.

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In this paper we discuss some problems arising in mathematical modeling of artificial hearts. The hydrodynamics of blood flow in an artificial heart chamber is governed by the Navier-Stokes equation, coupled with an equation of hyperbolic type subject to moving boundary conditions. The flow is induced by the motion of a diaphragm (membrane) inside the heart chamber attached to a part of the boundary and driven by a compressor (pusher plate). On one side of the diaphragm is the blood and on the other side is the compressor fluid. For a complete mathematical model it is necessary to write the equation of motion of the diaphragm and all the dynamic couplings that exist between its position, velocity and the blood flow in the heart chamber. This gives rise to a system of coupled nonlinear partial differential equations; the Navier-Stokes equation being of parabolic type and the equation for the membrane being of hyperbolic type. The system is completed by introducing all the necessary static and dynamic boundary conditions. The ultimate objective is to control the flow pattern so as to minimize hemolysis (damage to red blood cells) by optimal choice of geometry, and by optimal control of the membrane for a given geometry. The other clinical problems, such as compatibility of the material used in the construction of the heart chamber, and the membrane, are not considered in this paper. Also the dynamics of the valve is not considered here, though it is also an important element in the overall design of an artificial heart. We hope to model the valve dynamics in later paper.
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Zhong, Qi, Wen Hua Zeng, Xiao Yang Huang, and Bo Liang Wang. "Numerical Simulation of the Dynamics of Heart Valves: A Literature Review." Applied Mechanics and Materials 444-445 (October 2013): 1211–17. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.1211.

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Imaging techniques allow the visualization of the heart valves, but do not yields any information regarding the load applied to the heart valve information that provides key clues to the cause of valve deterioration. Numerical simulation, which is able to replicate and understand the dynamics of the valve, would benefit studies on heart valves surgical repair and prostheses design. Modeling and simulation of heart valves dynamics is a challenging biomechanical problem. Many researchers have taken various approaches to model the heart valve. But systematical categorization and development tendency of their research have never been discussed before. This paper reviews their models and divides them into wet models or dry models, in the light of whether considering blood flow and valve interaction. These simulations also can be categorized as native heart valve or artificial heart valve simulation by a different model prototype. The critical issues for future research are presented.
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Klyshnikov, K. Yu, E. A. Ovcharenko, A. V. Batranin, D. A. Dolgov, Yu N. Zakharov, K. S. Ivanov, Yu A. Kudryavtseva, Yu I. Shokin, and L. S. Barbarash. "Computer Modeling of Fluid Flow through the Heart Valve Bioprosthesis." Mathematical Biology and Bioinformatics 13, no. 2 (August 22, 2018): 337–47. http://dx.doi.org/10.17537/2018.13.337.

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The paper describes the features of in silico simulation of fluid flows of variable viscosity in the study of prosthetic heart valves. Computer modeling and its verification were performed on the example of the bioprosthesis "UniLine" (Russia) used in modern cardio-surgical practice. A spatial model of the object of investigation was obtained by the method of computer microtomography, followed by the reconstruction of the primitive grid in two-dimensional sections. In the numerical experiment, the immersed boundary method was used. Herein the interaction of a solid and a liquid as well as the impact of mechanics of deformation of the elements of the prosthesis, such as the winged apparatus, were taken into account. Verification of the calculation algorithm was performed in the pulsating flow setup in conditions of simulating the physiological parameters of hydrodynamics similar to those used in silico. In general, the results of the simulation are consistent with the quantitative and qualitative data of the hydrodynamic experiment. Thus, in the numerical simulation, a pressure gradient of 3.0 ± 1.1 mmHg was obtained, an effective orifice area of 2.8 cm2, a regurgitation volume of 0.1 ml/min. The experimental evaluation has shown the similar indicators: 6.5 ± 3.6 mmHg, 2.3 ± 0.6 cm2, 3.1 ± 1.7 ml/min, respectively. The described method demonstrates its promise and can be used in design and research tasks.
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Driessen, Niels J. B., Anita Mol, Carlijn V. C. Bouten, and Frank P. T. Baaijens. "Modeling the mechanics of tissue-engineered human heart valve leaflets." Journal of Biomechanics 40, no. 2 (January 2007): 325–34. http://dx.doi.org/10.1016/j.jbiomech.2006.01.009.

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Khalighi, Amir H., Andrew Drach, Robert C. Gorman, Joseph H. Gorman, and Michael S. Sacks. "Multi-resolution geometric modeling of the mitral heart valve leaflets." Biomechanics and Modeling in Mechanobiology 17, no. 2 (October 5, 2017): 351–66. http://dx.doi.org/10.1007/s10237-017-0965-8.

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Onishchenko, P. S., K. Yu Klyshnikov, M. A. Rezvova, and E. A. Ovcharenko. "The concept of automated functional design of heart valve prostheses." Complex Issues of Cardiovascular Diseases 10, no. 2 (September 2, 2021): 63–67. http://dx.doi.org/10.17802/2306-1278-2021-10-2s-63-67.

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Aim. To develop an algorithm for the automated functional design of the heart valve leaflet apparatus.Methods. The geometry of the aortic valve leaflet was designed in the Matlab programming environment (MathWorks, Massachusetts, USA). Numerical modeling of the opening process was performed using Abaqus/CAE (Dassault Systemes, France).Results. We developed an algorithm, with the help of which a set of models of the leaflet apparatus was designed. 8 models were subjected to numerical modeling of the stress-strain state. The locking pressure simulation has shown that the smallest von Mises stress value was recorded for a sample with a larger surface area of the leaflet belly and it equals 0.422 MPa. The results obtained show that the value of the radius of curvature significantly affects the behavior of the entire valve, which leads to the conclusion that it is necessary to carefully select the design of the valve apparatus for its correct functioning.Conclusion. The study provides the primary confirmation that the concept of the algorithm is efficient for the automated functional design of the aortic heart valve leaflet apparatus.
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Dissertations / Theses on the topic "Heart valve modeling"

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Heinrich, Russell Shawn. "Assessment of the fluid mechanics of aortic valve stenosis with in vitro modeling and control volume analysis." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/16664.

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Bachlah, Dana Mohamad. "Modeling of the inner structural band of the aortic valve bio prosthesis." Bachelor's thesis, Igor Sikorsky Kyiv Polytechnic Institute, 2021. https://ela.kpi.ua/handle/123456789/43660.

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Обсяг дипломної роботи становить 73 сторінок, містить 28 ілюстрацій, 20 таблиць. Загалом опрацьовано 59 джерел. Актуальність: Захворювання аортального клапана призводять до серйозних дисфункцій, спричинених зворотним потоком клапана або підвищенням його опору. Наслідком цієї патології є важка серцева недостатність, скорочення тривалості та якість життя. Єдине лікування - хірургічна заміна клапана на штучний протез або пластику аортального клапана. Заміна хворого аортального клапана на штучний протез є ефективним методом профілактики серцевої недостатності, збільшення тривалості та поліпшення якості життя. Мета: Моделювання внутрішньої структурної смуги біопротезу аортального клапана. Завдання: переглянути літературу з анатомії судин та клапанів серця; проаналізувати та виявити проблему; побудувати внутрішню структурну клапанну модель клапана у винахіднику AutoCAD; Аналіз варіантів матеріалів для виготовлення клапанного корпусу показав прийнятні механічні характеристики та біосумісність. Основні результати: переглянуто літературу з суміжних тем; порівняльний аналіз існуючих прототипів штучних клапанів серця; вибір «біологічного нітинолу»; Розроблено 5 стандартних розмірів каркаса для біопротезування аортального клапана.
The volume of the graduation work is 73 pages, contains 28 illustrations, 20 tables. In total 59 sources have been processed. Relevance: Aortic valve diseases lead to its severe dysfunction caused backflow on the valve or increased its resistance. The consequence of this pathology is severe heart failure, reduced duration and quality of life. The only treatment is surgical replacement of the valve with an artificial prosthesis or aortic valve plastic. Replacing of a sick aortic valve with an artificial prosthesis is an effective method of preventing heart failure, increasing duration and improving quality of life. Purpose: Modeling of the inner structural band of the aortic valve bio prosthesis. Tasks: to review literature on anatomy of blood vessels and heart valves; analyze and identify the problem; build inner structural band valve model in AutoCAD inventor; analyze the material options for the manufacture of the valve frame showed acceptable mechanical characteristics and biocompatibility. Main results: literature on related topics has been reviewed; comparative analysis of existing prototypes of artificial heart valves; selection of “biological nitinol”; 5 standard sizes of frame for aortic valve bio prosthesis was designed.
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LaHaye, Stephanie Donna. "Discovering and Modeling Genetic Causes of Congenital Heart Disease." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492610446228702.

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Ghotikar, Miheer S. "Aortic valve analysis and area prediction using bayesian modeling." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001369.

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Goddard, Aaron M. "A primarily Eulerian means of applying left ventricle boundary conditions for the purpose of patient-specific heart valve modeling." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6584.

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Patient-specific multi-physics simulations have the potential to improve the diagnosis, treatment, and scientific inquiry of heart valve dynamics. It has been shown that the flow characteristics within the left ventricle are important to correctly capture the aortic and mitral valve motion and corresponding fluid dynamics, motivating the use of patient-specific imaging to describe the aortic and mitral valve geometries as well as the motion of the left ventricle (LV). The LV position can be captured at several time points in the cardiac cycle, such that its motion can be prescribed a priori as a Dirichlet boundary condition during a simulation. Valve leaflet motion, however, should be computed from soft-tissue models and incorporated using fully-coupled Fluid Structure Interaction (FSI) algorithms. While FSI simulations have in part or wholly been achieved by multiple groups, to date, no high-throughput models have been developed, which are needed for use in a clinical environment. This project seeks to enable patient-derived moving LV boundary conditions, and has been developed for use with a previously developed immersed boundary, fixed Cartesian grid FSI framework. One challenge in specifying LV motion from medical images stems from the low temporal resolution available. Typical imaging modalities contain only tens of images during the cardiac cycle to describe the change in position of the left ventricle. This temporal resolution is significantly lower than the time resolution needed to capture fluid dynamics of a highly deforming heart valve, and thus an approach to describe intermediate positions of the LV is necessary. Here, we propose a primarily Eulerian means of representing LV displacement. This is a natural extension, since an Eulerian framework is employed in the CFD model to describe the large displacement of the heart valve leaflets. This approach to using Eulerian interface representation is accomplished by applying “morphing” techniques commonly used in the field of computer graphics. For the approach developed in the current work, morphing is adapted to the unique characteristics of a Cartesian grid flow solver which presents challenges of adaptive mesh refinement, narrow band approach, parallel domain decomposition, and the need to supply a local surface velocity to the flow solver that describes both normal and tangential motion. This is accomplished by first generating a skeleton from the Eulerian interface representation, and deforming the skeleton between image frames to determine bulk displacement. After supplying bulk displacement, local displacement is determined using the Eulerian fields. The skeletons are also utilized to automate the simulation setup to track the locations upstream and downstream where the system inflow/outflow boundary conditions are to be applied, which in the current approach, are not limited to Cartesian domain boundaries.
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THOMAS, VINEET SUNNY. "A Multiscale Framework to Analyze Tricuspid Valve Biomechanics." University of Akron / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=akron1542255754172363.

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Šedivý, Dominik. "Proudění umělou srdeční chlopní." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-241889.

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The presented thesis solves a flow through the artificial heart valves. The thesis concerns with a historic development of mechanical heart valves and their basic parameters. It also includes a short research about Dynamic mesh module, which is contained within ANSYS Fluent. An experiment with a real mechanical heart valve was done within the diploma thesis and obtained data were compared with physiological ones. One part of this work was a design of 3D model of real heart valve replacement. The model was used for fluid dynamic computations using the Dynamic mesh of ANSYS Fluent software. In the end are the results of experimental part and numerical solutions used for few suggestions that could improve the function of the artificial heart valve.
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Van, Aswegen Karl. "Dynamic modelling of a stented aortic valve." Thesis, Link to the online version, 2008. http://hdl.handle.net/10019/1747.

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Shojai, Leila. "Modelling of blood flow through heart valves and simulation of particle transport in blood." Thesis, Loughborough University, 2007. https://dspace.lboro.ac.uk/2134/34645.

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Computer modelling provides powerful and flexible methodology for the predictive simulation of complex flow systems. However, despite the versatility of this methodology quantitative modelling of blood flow through human heart presents a difficult and challenging problem. Although derivation of appropriate governing equations representing combined blood flow and soft solid deformation of the tissues of heart valves does not pose any particular theoretical problems. Accurate solution of such equations is not a trivial matter. Another source of complexity in the modelling of a biological system such as blood flow/heart valve deformation is the uncertainties associated with the available physical and rheological data that are required to obtain quantitative simulations. Variations between individual situations is usually considerable which precludes broad generalizations. In this research project an attempt has been made to identify the most important aspects of the blood flow through human heart valves. This has led to making rational approximations which render the development of a model for the described system both possible and meaningful. The main focus have been on the best use of available software and mathematical schemes. In cases where existing computational or mathematical tools were considered to be incapable of tackling realistic situations new techniques have been developed. It has been shown that using the modelling methodology which is developed in this research study a number of important and reliable conclusions about the operation of heart valves can be drawn. This information can in turn be used to design artificial heart valves.
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Dejvises, Jackravut. "Modelling of flexible heat demand and assessing its value in low carbon electricity systems." Thesis, Imperial College London, 2012. http://hdl.handle.net/10044/1/10144.

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This thesis presents a thermo-electrical modelling approach for demand response services through Heating Ventilation and Air Conditioning (HVAC) systems. The starting point of the approach is to gain insights on the heating and cooling energy required to keep a building at predefined temperature settings. These studies are supported by the simulation engine EnergyPlus, which is used to generate base-case (uncontrolled) consumption scenarios. Then, a number of different control actions are simulated to study how the energy demand and the indoor temperature profile of different buildings react to such control actions. The relations between user’s comfort levels and temperature setting point variations and durations of the control are explored for different types of buildings. In order to map thermal loads to electrical loads, synthetic and general models of reversible HVAC devices are developed through a so-called black-box approach, whereby input-output functions are generated to link the equipment performance to indoor and outdoor temperatures in both heating and cooling operation. A mathematical formulation of these performance functions is developed from real data. A flexible demand strategy algorithm that maximises the benefits of flexible heat demand is finally presented. It allows selection of an optimal combination of control strategies for the different devices involved in the analysis. The algorithm is able to select type, number, and duration of operation of the HVAC systems so as to maximise the sought benefits, e.g., support of system balancing task, network constraint management. This can ultimately lead to facilitate efficient integration of intermittent generation and enhance the utilization of existing network assets in future low carbon electricity systems. The present heating and domestic hot water demands of UK residential buildings have been modelled and validated with the national gas consumption. The model is used to predict future HVAC demand of the UK residential building in year 2050.
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Books on the topic "Heart valve modeling"

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The classical Stefan problem: Basic concepts, modelling and analysis. Amsterdam: Elsevier, 2003.

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C, Gupta S. Classical Stefan Problem: Basic Concepts, Modelling and Analysis. Elsevier Science & Technology Books, 2003.

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Classical Stefan Problem: Basic Concepts, Modelling and Analysis with Quasi-Analytical Solutions and Methods. Elsevier, 2017.

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Chaudhri, Masroor Mansoor. Modelling of blood flow through mechanical heart valves using large eddy simulation. 2004.

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Gupta, S. C. The Classical Stefan Problem: Basic concepts, modelling and analysis (North-Holland Series in Applied Mathematics and Mechanics). JAI Press, 2003.

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Axel, Voigt, ed. Multiscale modeling in epitaxial growth. Basel: Birkhäuser, 2005.

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Voigt, Axel. Multiscale Modeling in Epitaxial Growth. Springer, 2008.

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(Editor), C. A. Brebbia, Carlos A. Brebbia (Editor), and L. C. Wrobel (Editor), eds. Computational Modelling of Free and Moving Boundary Problems Vol. 2: Heat Transfer. Walter de Gruyter, 1991.

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Computational Modelling of Free and Moving Boundary Problems: Proceedings of the First International Conference, Held 2-4 July, Southampton, U.K. Walter de Gruyter, 1991.

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Computational Modelling of Free and Moving Boundary Problems: Proceedings of the First International Conference, Held 2-4 July, Southampton, U.K. Walter de Gruyter, 1991.

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Book chapters on the topic "Heart valve modeling"

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Dolgov, Dmitriy, and Yury Zakharov. "Numerical Modeling of Artificial Heart Valve." In Communications in Computer and Information Science, 33–43. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25058-8_4.

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Ristori, T., A. J. van Kelle, F. P. T. Baaijens, and S. Loerakker. "Biomechanics and Modeling of Tissue-Engineered Heart Valves." In Advances in Heart Valve Biomechanics, 413–46. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01993-8_16.

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Bakhaty, Ahmed A., Ali Madani, and Mohammad R. K. Mofrad. "Computational Modeling of Heart Valves: Understanding and Predicting Disease." In Advances in Heart Valve Biomechanics, 385–411. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01993-8_15.

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Schneider, Robert J., William C. Burke, Gerald R. Marx, Pedro J. del Nido, and Robert D. Howe. "Modeling Mitral Valve Leaflets from Three-Dimensional Ultrasound." In Functional Imaging and Modeling of the Heart, 215–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21028-0_27.

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Hammer, Peter E., Christina A. Pacak, Robert D. Howe, and Pedro J. del Nido. "Collagen Bundle Orientation Explains Aortic Valve Leaflet Coaptation." In Functional Imaging and Modeling of the Heart, 409–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38899-6_48.

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Kim, Hyunggun, Jia Lu, and K. B. Chandran. "Native Human and Bioprosthetic Heart Valve Dynamics." In Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems, 403–35. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7350-4_11.

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Carnahan, Patrick, Olivia Ginty, John Moore, Andras Lasso, Matthew A. Jolley, Christian Herz, Mehdi Eskandari, Daniel Bainbridge, and Terry M. Peters. "Interactive-Automatic Segmentation and Modelling of the Mitral Valve." In Functional Imaging and Modeling of the Heart, 397–404. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21949-9_43.

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Pluchinotta, Francesca R., Alessandro Caimi, Francesco Sturla, and Mario Carminati. "Patient-Specific Numerical Modeling to Predict Coronary Artery Compression in Transcatheter Pulmonary Valve Implantation." In Modelling Congenital Heart Disease, 191–97. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88892-3_16.

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Chabiniok, R., P. Moireau, C. Kiesewetter, T. Hussain, Reza Razavi, and D. Chapelle. "Assessment of Atrioventricular Valve Regurgitation Using Biomechanical Cardiac Modeling." In Functional Imaging and Modelling of the Heart, 401–11. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59448-4_38.

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Khang, Alex, Daniel P. Howsmon, Emma Lejeune, and Michael S. Sacks. "Multi-scale Modeling of the Heart Valve Interstitial Cell." In Multi-scale Extracellular Matrix Mechanics and Mechanobiology, 21–53. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20182-1_2.

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Conference papers on the topic "Heart valve modeling"

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Deeb, George, Anwarul Hasan, Mohamad Abiad, Anwarul Hasan, Hani A. Alhadrami, and Tanvir Mustafy. "Experimental studies and computer modeling of viscoelastic properties of heart valve leaflets: Implication in heart valve tissue engineering." In 2015 International Conference on Advances in Biomedical Engineering (ICABME). IEEE, 2015. http://dx.doi.org/10.1109/icabme.2015.7323293.

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Zhao, Tianwen (Tina), Amy Martinez, and Hengchu Cao. "Experimental Validation of SAPIEN Transcatheter Heart Valve FEA Models." In ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fmd2013-16053.

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The Edwards SAPIEN transcatheter heart valve (Figure 1) is designed for heart valve replacement in patients with severe aortic stenosis without open-heart surgery. Physiological FEA analyses have been performed to provide an assessment of the fracture and fatigue resistance of the device during deployment and operation. The present study validates FEA frame models by comparing the crimping behavior of the FEA models with the results of crimping experiments.
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Mousel, John A., Sarah C. Vigmostad, H. S. Udaykumar, and Krishnan B. Chandran. "pELAFINT3D: A Unified Approach for Modeling Prosthetic Heart Valves." In ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fmd2013-16121.

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Cutting edge computational tools are an important component of the future of tasks such as surgical planning of mitral valve repair and the design and evaluation of prosthetic valves. For example, despite half a century of use, mechanical heart valves still require further research to reduce the non-physiologic nature of the flow field, which is the source of potential medical complications, of which the most serious complication is thrombus formation [1]. In fact, there is still a lack of consensus in the literature about which flow pathologies are the most damaging to blood elements [2, 3]. Much computational work has been performed examining the flow around mechanical heart valve devices [4, 5], but because the emphasis has been on correct valve motion and not fine structure detail, only the largest features have been adequately resolved and the forward flow structures are allowed to dissipate on stretched meshes such that the features may not lead to the correct fine structure state as directionality of blood flow changes during the cardiac cycle.
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4

Martin, Caitlin, and Wei Sun. "Modeling of Tissue Fatigue Damage in Bio-Prosthetic Heart Valve." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53888.

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Bio-prosthetic heart valves (BHVs) with leaflets made of glutaraldehyde-treated bovine pericardium (GLBP), have been used extensively to replace diseased heart valves. BHVs display superior hemodynamics to mechanical valves and eliminate the need for anticoagulant therapy; however, they exhibit poor durability resulting from in vivo degradation and fatigue damage of the leaflets.
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5

Zaffora, Adriano, Joanna Stasiak, Geoff D. Moggridge, Maria Laura Costantino, and Roberto Fumero. "Design of Biomorphic Polymeric Heart Valve Prosthes by Means of FEM Modeling." In ASME 2010 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/sbc2010-19420.

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Severe stenotic or insufficient native heart valves (nHV) must be substituted with artificial heart valve prostheses (aHV) to prevent heart failure. Nowadays, surgeons can implant two types of aHVs: mechanical aHV or bioprosthetic aHV. Mechanical aHVs, which are built up from synthetic hard materials, assure good reliability but require daily anticoagulant treatment to avoid blood cells damage. On the contrary, bioprosthetic aHVs, which are made from animal or human tissues, display better hemocompatibility but significant risk of failure due to tissue degradation. Despite current development in manufacturing of valve prostheses, long-term clinical applications claim for new generation of aHVs able to meet reliability and effectiveness requirements [2].
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6

Bin Zheng and Weiwei Song. "Notice of Retraction: Study on computer aided modeling of bioprosthetic heart valve." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5623170.

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7

Kumar, Gideon Praveen, Cui Fangsen, Asawinee Danpinid, Chan Zhi Wei, Su Boyang, Leo Hwa Liang, and Jimmy Kim Fatt Hon. "Computational Modeling of a Novel Mitral Valve Stent." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-86216.

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Although percutaneous heart valve replacement is getting known amongst cardiovascular surgical procedures, as it was recently introduced, and reports of early clinical experience been published, this technique is limited to the replacement of pulmonary and aortic valves in old patients who cannot undergo open heart surgery. One of the reasons is the uphill challenges in the generation of an ideal design that would address anchorage and leakage issues. Stent anchorage and paravalvular leaks prove to the greatest challenge posed to biomedical design engineers. This paper describes a novel Nitinol based mitral valve stent that addresses migration and paravalvular leaks associated with the bioprosthetic mitral valve. The geometry-based model presented here specifically addresses issues of valve migration and paravalvular leaks This is of great interest to designers of new prosthetic heart valve models, as well as to surgeons involved in valve sparing surgery. Simulation results show that the studied stent design seemed to be good by virtue of its acceptable maximum crimping strain.
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8

Xiao, Min, Annie Bailey, and Olga Pierrakos. "In-Vitro Modeling of Heart Failure in the Presence of a Prosthetic Heart Valve Using Particle Image Velocimetry." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53788.

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It is well-known that cardiovascular disease, affecting millions of people, is the number one killer in the US and worldwide. Current trends indicate that cardiovascular disease (CVD) will claim approximately 20 million victims in 2020 as the leading cause of death worldwide and will be responsible for over a billion deaths between 2000 and 2050 [1]. According to the American Heart Association, one in three American adults have one or more types of heart disease. Economically, the total and indirect costs due to cardiovascular diseases in 2009 were estimated at $475.3 billion. The spectrum of cardiac disease encompasses a broad range of disorders, varying from myocardial ischemia, valvular disease, diastolic dysfunction, congestive heart failure (which is projected to affect 20 million people by 2020), etc. Most of these disorders initiate and are associated to the left side of the heart, which is the workhorse and also the focus of our research herein.
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Stevanella, Marco, Emiliano Votta, Massimo Lemma, Carlo Antona, and Alberto Redaelli. "Morphometric Characterization and Finite Element Modeling of the Physiological Tricuspid Valve." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206600.

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The tricuspid valve (TV) is the right atrio-ventricular valve. The most common TV disease is secondary or functional tricuspid regurgitation (FTR), an important complication of left-sided valvular heart lesions, which frequently persists after mitral and aortic valve operations. FTR is associated with high mortality and morbidity and requires surgical intervention, the preferential solution being TV repair through techniques such as annuloplasty performed during left heart surgery. However, significant residual regurgitation persists or recurs in 10% to 20% after annuloplasty, thus highlighting the incomplete understanding of the underlying mechanisms and the need for deeper insight into TV pathophysiology. At this purpose finite element models (FEMs) could be adopted, as suggested by their effective application to the biomechanical analysis of left heart valves. However, while for those several data are available regarding morphology and tissue mechanical properties, such information is missing for the TV, making it difficult to implement a FEM of the TV.
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10

Salinas, M., R. Lange, and S. Ramaswamy. "Specimen Dynamics and Subsequent Implications in Heart Valve Tissue Engineering Studies." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53346.

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In heart valve tissue engineering, appropriate mechanical preconditioning may provide the necessary stimuli to promote proper tissue formation [1–3]. Previous efforts have focused on a mechanistic heart valve (MHV) bioreactor that can mimic the innate mechanical stress states of flexure, flow and stretch in any combination thereof [1]. A fundamental component pertaining to heart valves is its dynamic behavior. Specific fluid-induced shears stress patterns may play a critical role in up-regulating ECM secretion by progenitor cell sources such as bone marrow derived stem cells [2] and increasing the possibility of cell differentiation towards a heart valve phenotype. Here, we take a computational predictive modeling approach to identify the specific fluid induced shear stress distributions that are altered as a result of valve-like movement and its resulting implications for tissue growth. Previous results have demonstrated the analogous deformation characteristics of heart valves in a rectangular geometry [2]. We conducted computational fluid dynamic (CFD) simulations of a bioreactor that houses these rectangular-shaped specimens (Fig.1).
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