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Simulation of Left Ventricular Dynamics Using a Low-Order Mathematical Model

The eventual goal of this study is to develop methods for estimating dynamic stresses in the left ventricle (LV) that could be used on-line in clinical settings, based on routinely available measurements. Toward this goal, a low-order theoretical model is presented, in which LV shape is represented...

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Autores principales: Moulton, Michael J., Hong, Brian D., Secomb, Timothy W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5707240/
https://www.ncbi.nlm.nih.gov/pubmed/28812230
http://dx.doi.org/10.1007/s13239-017-0327-9
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author Moulton, Michael J.
Hong, Brian D.
Secomb, Timothy W.
author_facet Moulton, Michael J.
Hong, Brian D.
Secomb, Timothy W.
author_sort Moulton, Michael J.
collection PubMed
description The eventual goal of this study is to develop methods for estimating dynamic stresses in the left ventricle (LV) that could be used on-line in clinical settings, based on routinely available measurements. Toward this goal, a low-order theoretical model is presented, in which LV shape is represented using a small number of parameters, allowing rapid computational simulations of LV dynamics. The LV is represented as a thick-walled prolate spheroid containing helical muscle fibers with nonlinear passive and time-dependent active contractile properties. The displacement field during the cardiac cycle is described by three time-dependent parameters, using a family of volume-preserving mappings based on prolate spheroidal coordinates. Stress equilibrium is imposed in weak form and the resulting force balance equations are coupled to a lumped-parameter model of the circulation, leading to a system of differential–algebraic equations, whose numerical solution yields predictions of LV pressure and volume, together with spatial distributions of stresses and strains throughout the cardiac cycle. When static loading of the passive LV is assumed, this approach yields displacement and stress fields that closely match results from a standard finite-element approach. When dynamic motion with active contraction is simulated, substantial variations of fiber stress and strain through the myocardium are predicted. This approach allows simulations of LV dynamics that run faster than real time, and could be used to determine patient-specific parameters of LV performance on-line from clinically available measurements, with the eventual goal of real-time, patient-specific analysis of cardiac parameters. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13239-017-0327-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-57072402017-12-06 Simulation of Left Ventricular Dynamics Using a Low-Order Mathematical Model Moulton, Michael J. Hong, Brian D. Secomb, Timothy W. Cardiovasc Eng Technol Article The eventual goal of this study is to develop methods for estimating dynamic stresses in the left ventricle (LV) that could be used on-line in clinical settings, based on routinely available measurements. Toward this goal, a low-order theoretical model is presented, in which LV shape is represented using a small number of parameters, allowing rapid computational simulations of LV dynamics. The LV is represented as a thick-walled prolate spheroid containing helical muscle fibers with nonlinear passive and time-dependent active contractile properties. The displacement field during the cardiac cycle is described by three time-dependent parameters, using a family of volume-preserving mappings based on prolate spheroidal coordinates. Stress equilibrium is imposed in weak form and the resulting force balance equations are coupled to a lumped-parameter model of the circulation, leading to a system of differential–algebraic equations, whose numerical solution yields predictions of LV pressure and volume, together with spatial distributions of stresses and strains throughout the cardiac cycle. When static loading of the passive LV is assumed, this approach yields displacement and stress fields that closely match results from a standard finite-element approach. When dynamic motion with active contraction is simulated, substantial variations of fiber stress and strain through the myocardium are predicted. This approach allows simulations of LV dynamics that run faster than real time, and could be used to determine patient-specific parameters of LV performance on-line from clinically available measurements, with the eventual goal of real-time, patient-specific analysis of cardiac parameters. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13239-017-0327-9) contains supplementary material, which is available to authorized users. Springer US 2017-08-15 2017 /pmc/articles/PMC5707240/ /pubmed/28812230 http://dx.doi.org/10.1007/s13239-017-0327-9 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Moulton, Michael J.
Hong, Brian D.
Secomb, Timothy W.
Simulation of Left Ventricular Dynamics Using a Low-Order Mathematical Model
title Simulation of Left Ventricular Dynamics Using a Low-Order Mathematical Model
title_full Simulation of Left Ventricular Dynamics Using a Low-Order Mathematical Model
title_fullStr Simulation of Left Ventricular Dynamics Using a Low-Order Mathematical Model
title_full_unstemmed Simulation of Left Ventricular Dynamics Using a Low-Order Mathematical Model
title_short Simulation of Left Ventricular Dynamics Using a Low-Order Mathematical Model
title_sort simulation of left ventricular dynamics using a low-order mathematical model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5707240/
https://www.ncbi.nlm.nih.gov/pubmed/28812230
http://dx.doi.org/10.1007/s13239-017-0327-9
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