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Quantitative Study of the Effect of Tissue Microstructure on Contraction in a Computational Model of Rat Left Ventricle
Tissue microstructure, in particular the alignment of myocytes (fibre direction) and their lateral organisation into sheets, is fundamental to cardiac function. We studied the effect of microstructure on contraction in a computational model of rat left ventricular electromechanics. Different fibre m...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3973660/ https://www.ncbi.nlm.nih.gov/pubmed/24695115 http://dx.doi.org/10.1371/journal.pone.0092792 |
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author | Carapella, Valentina Bordas, Rafel Pathmanathan, Pras Lohezic, Maelene Schneider, Jurgen E. Kohl, Peter Burrage, Kevin Grau, Vicente |
author_facet | Carapella, Valentina Bordas, Rafel Pathmanathan, Pras Lohezic, Maelene Schneider, Jurgen E. Kohl, Peter Burrage, Kevin Grau, Vicente |
author_sort | Carapella, Valentina |
collection | PubMed |
description | Tissue microstructure, in particular the alignment of myocytes (fibre direction) and their lateral organisation into sheets, is fundamental to cardiac function. We studied the effect of microstructure on contraction in a computational model of rat left ventricular electromechanics. Different fibre models, globally rule-based or locally optimised to DT-MRI data, were compared, in order to understand whether a subject-specific fibre model would enhance the predictive power of our model with respect to the global ones. We also studied the impact of sheets on ventricular deformation by comparing: (a) a transversely isotropic versus an orthotropic material law and (b) a linear model with a bimodal model of sheet transmural variation. We estimated ejection fraction, wall thickening and base-to-apex shortening and compared them with measures from cine-MRI. We also evaluated Lagrangian strains as local metrics of cardiac deformation. Our results show that the subject-specific fibre model provides little improvement in the metric predictions with respect to global fibre models while material orthotropy allows closer agreement with measures than transverse isotropy. Nonetheless, the impact of sheets in our model is smaller than that of fibres. We conclude that further investigation of the modelling of sheet dynamics is necessary to fully understand the impact of tissue structure on cardiac deformation. |
format | Online Article Text |
id | pubmed-3973660 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39736602014-04-04 Quantitative Study of the Effect of Tissue Microstructure on Contraction in a Computational Model of Rat Left Ventricle Carapella, Valentina Bordas, Rafel Pathmanathan, Pras Lohezic, Maelene Schneider, Jurgen E. Kohl, Peter Burrage, Kevin Grau, Vicente PLoS One Research Article Tissue microstructure, in particular the alignment of myocytes (fibre direction) and their lateral organisation into sheets, is fundamental to cardiac function. We studied the effect of microstructure on contraction in a computational model of rat left ventricular electromechanics. Different fibre models, globally rule-based or locally optimised to DT-MRI data, were compared, in order to understand whether a subject-specific fibre model would enhance the predictive power of our model with respect to the global ones. We also studied the impact of sheets on ventricular deformation by comparing: (a) a transversely isotropic versus an orthotropic material law and (b) a linear model with a bimodal model of sheet transmural variation. We estimated ejection fraction, wall thickening and base-to-apex shortening and compared them with measures from cine-MRI. We also evaluated Lagrangian strains as local metrics of cardiac deformation. Our results show that the subject-specific fibre model provides little improvement in the metric predictions with respect to global fibre models while material orthotropy allows closer agreement with measures than transverse isotropy. Nonetheless, the impact of sheets in our model is smaller than that of fibres. We conclude that further investigation of the modelling of sheet dynamics is necessary to fully understand the impact of tissue structure on cardiac deformation. Public Library of Science 2014-04-02 /pmc/articles/PMC3973660/ /pubmed/24695115 http://dx.doi.org/10.1371/journal.pone.0092792 Text en © 2014 Carapella et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Carapella, Valentina Bordas, Rafel Pathmanathan, Pras Lohezic, Maelene Schneider, Jurgen E. Kohl, Peter Burrage, Kevin Grau, Vicente Quantitative Study of the Effect of Tissue Microstructure on Contraction in a Computational Model of Rat Left Ventricle |
title | Quantitative Study of the Effect of Tissue Microstructure on Contraction in a Computational Model of Rat Left Ventricle |
title_full | Quantitative Study of the Effect of Tissue Microstructure on Contraction in a Computational Model of Rat Left Ventricle |
title_fullStr | Quantitative Study of the Effect of Tissue Microstructure on Contraction in a Computational Model of Rat Left Ventricle |
title_full_unstemmed | Quantitative Study of the Effect of Tissue Microstructure on Contraction in a Computational Model of Rat Left Ventricle |
title_short | Quantitative Study of the Effect of Tissue Microstructure on Contraction in a Computational Model of Rat Left Ventricle |
title_sort | quantitative study of the effect of tissue microstructure on contraction in a computational model of rat left ventricle |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3973660/ https://www.ncbi.nlm.nih.gov/pubmed/24695115 http://dx.doi.org/10.1371/journal.pone.0092792 |
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