Fully-coupled fluid-structure interaction simulation of the aortic and mitral valves in a realistic 3D left ventricle model
In this study, we present a fully-coupled fluid-structure interaction (FSI) framework that combines smoothed particle hydrodynamics (SPH) and nonlinear finite element (FE) method to investigate the coupled aortic and mitral valves structural response and the bulk intraventricular hemodynamics in a r...
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Published in | PloS one Vol. 12; no. 9; p. e0184729 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Public Library of Science
08.09.2017
Public Library of Science (PLoS) |
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Abstract | In this study, we present a fully-coupled fluid-structure interaction (FSI) framework that combines smoothed particle hydrodynamics (SPH) and nonlinear finite element (FE) method to investigate the coupled aortic and mitral valves structural response and the bulk intraventricular hemodynamics in a realistic left ventricle (LV) model during the entire cardiac cycle. The FSI model incorporates valve structures that consider native asymmetric leaflet geometries, anisotropic hyperelastic material models and human material properties. Comparison of FSI results with subject-specific echocardiography data demonstrates that the SPH-FE approach is able to quantitatively predict the opening and closing times of the valves, the mitral leaflet opening and closing angles, and the large-scale intraventricular flow phenomena with a reasonable agreement. Moreover, comparison of FSI results with a LV model without valves reveals substantial differences in the flow field. Peak systolic velocities obtained from the FSI model and the LV model without valves are 2.56 m/s and 1.16 m/s, respectively, compared to the Doppler echo data of 2.17 m/s. The proposed SPH-FE FSI framework represents a further step towards modeling patient-specific coupled LV-valve dynamics, and has the potential to improve our understanding of cardiovascular physiology and to support professionals in clinical decision-making. |
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AbstractList | In this study, we present a fully-coupled fluid-structure interaction (FSI) framework that combines smoothed particle hydrodynamics (SPH) and nonlinear finite element (FE) method to investigate the coupled aortic and mitral valves structural response and the bulk intraventricular hemodynamics in a realistic left ventricle (LV) model during the entire cardiac cycle. The FSI model incorporates valve structures that consider native asymmetric leaflet geometries, anisotropic hyperelastic material models and human material properties. Comparison of FSI results with subject-specific echocardiography data demonstrates that the SPH-FE approach is able to quantitatively predict the opening and closing times of the valves, the mitral leaflet opening and closing angles, and the large-scale intraventricular flow phenomena with a reasonable agreement. Moreover, comparison of FSI results with a LV model without valves reveals substantial differences in the flow field. Peak systolic velocities obtained from the FSI model and the LV model without valves are 2.56 m/s and 1.16 m/s, respectively, compared to the Doppler echo data of 2.17 m/s. The proposed SPH-FE FSI framework represents a further step towards modeling patient-specific coupled LV-valve dynamics, and has the potential to improve our understanding of cardiovascular physiology and to support professionals in clinical decision-making. In this study, we present a fully-coupled fluid-structure interaction (FSI) framework that combines smoothed particle hydrodynamics (SPH) and nonlinear finite element (FE) method to investigate the coupled aortic and mitral valves structural response and the bulk intraventricular hemodynamics in a realistic left ventricle (LV) model during the entire cardiac cycle. The FSI model incorporates valve structures that consider native asymmetric leaflet geometries, anisotropic hyperelastic material models and human material properties. Comparison of FSI results with subject-specific echocardiography data demonstrates that the SPH-FE approach is able to quantitatively predict the opening and closing times of the valves, the mitral leaflet opening and closing angles, and the large-scale intraventricular flow phenomena with a reasonable agreement. Moreover, comparison of FSI results with a LV model without valves reveals substantial differences in the flow field. Peak systolic velocities obtained from the FSI model and the LV model without valves are 2.56 m/s and 1.16 m/s, respectively, compared to the Doppler echo data of 2.17 m/s. The proposed SPH-FE FSI framework represents a further step towards modeling patient-specific coupled LV-valve dynamics, and has the potential to improve our understanding of cardiovascular physiology and to support professionals in clinical decision-making.In this study, we present a fully-coupled fluid-structure interaction (FSI) framework that combines smoothed particle hydrodynamics (SPH) and nonlinear finite element (FE) method to investigate the coupled aortic and mitral valves structural response and the bulk intraventricular hemodynamics in a realistic left ventricle (LV) model during the entire cardiac cycle. The FSI model incorporates valve structures that consider native asymmetric leaflet geometries, anisotropic hyperelastic material models and human material properties. Comparison of FSI results with subject-specific echocardiography data demonstrates that the SPH-FE approach is able to quantitatively predict the opening and closing times of the valves, the mitral leaflet opening and closing angles, and the large-scale intraventricular flow phenomena with a reasonable agreement. Moreover, comparison of FSI results with a LV model without valves reveals substantial differences in the flow field. Peak systolic velocities obtained from the FSI model and the LV model without valves are 2.56 m/s and 1.16 m/s, respectively, compared to the Doppler echo data of 2.17 m/s. The proposed SPH-FE FSI framework represents a further step towards modeling patient-specific coupled LV-valve dynamics, and has the potential to improve our understanding of cardiovascular physiology and to support professionals in clinical decision-making. |
Author | Sun, Wei Primiano, Charles Mao, Wenbin McKay, Raymond Caballero, Andrés |
AuthorAffiliation | 1 Tissue Mechanics Laboratory, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States of America 2 Cardiology Department, The Hartford Hospital, Hartford, Connecticut, United States of America Worcester Polytechnic Institute, UNITED STATES |
AuthorAffiliation_xml | – name: 2 Cardiology Department, The Hartford Hospital, Hartford, Connecticut, United States of America – name: Worcester Polytechnic Institute, UNITED STATES – name: 1 Tissue Mechanics Laboratory, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States of America |
Author_xml | – sequence: 1 givenname: Wenbin surname: Mao fullname: Mao, Wenbin – sequence: 2 givenname: Andrés surname: Caballero fullname: Caballero, Andrés – sequence: 3 givenname: Raymond surname: McKay fullname: McKay, Raymond – sequence: 4 givenname: Charles surname: Primiano fullname: Primiano, Charles – sequence: 5 givenname: Wei orcidid: 0000-0002-8708-5128 surname: Sun fullname: Sun, Wei |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28886196$$D View this record in MEDLINE/PubMed |
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Copyright | 2017 Mao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2017 Mao et al 2017 Mao et al |
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SubjectTerms | Angles (geometry) Aorta Aortic Valve - physiology Biology and Life Sciences Biomechanics Biomedical engineering Cardiology Clinical decision making Computational fluid dynamics Computational physics Computer simulation Decision making Echocardiography Engineering Finite Element Analysis Finite element method Fluid dynamics Fluid flow Fluid-structure interaction Heart Heart diseases Heart valves Hemodynamics Hemodynamics - physiology Humans Hydrodynamics Iron Kinematics Laboratories Mathematical models Medical imaging Medicine and Health Sciences Methods Mitral Valve - physiology Models, Biological Physical Sciences Physiology Simulation Smooth particle hydrodynamics Studies Surgery Thoracic surgery Three dimensional models Ventricle |
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Title | Fully-coupled fluid-structure interaction simulation of the aortic and mitral valves in a realistic 3D left ventricle model |
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