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Turbulent blood dynamics in the left heart in the presence of mitral regurgitation: a computational study based on multi-series cine-MRI

In this work, we performed a computational image-based study of blood dynamics in the whole left heart, both in a healthy subject and in a patient with mitral valve regurgitation. We elaborated multi-series cine-MRI with the aim of reconstructing the geometry and the corresponding motion of left ven...

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Autores principales: Bennati, Lorenzo, Giambruno, Vincenzo, Renzi, Francesca, Di Nicola, Venanzio, Maffeis, Caterina, Puppini, Giovanni, Luciani, Giovanni Battista, Vergara, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613156/
https://www.ncbi.nlm.nih.gov/pubmed/37400622
http://dx.doi.org/10.1007/s10237-023-01735-0
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author Bennati, Lorenzo
Giambruno, Vincenzo
Renzi, Francesca
Di Nicola, Venanzio
Maffeis, Caterina
Puppini, Giovanni
Luciani, Giovanni Battista
Vergara, Christian
author_facet Bennati, Lorenzo
Giambruno, Vincenzo
Renzi, Francesca
Di Nicola, Venanzio
Maffeis, Caterina
Puppini, Giovanni
Luciani, Giovanni Battista
Vergara, Christian
author_sort Bennati, Lorenzo
collection PubMed
description In this work, we performed a computational image-based study of blood dynamics in the whole left heart, both in a healthy subject and in a patient with mitral valve regurgitation. We elaborated multi-series cine-MRI with the aim of reconstructing the geometry and the corresponding motion of left ventricle, left atrium, mitral and aortic valves, and aortic root of the subjects. This allowed us to prescribe such motion to computational blood dynamics simulations where, for the first time, the whole left heart motion of the subject is considered, allowing us to obtain reliable subject-specific information. The final aim is to investigate and compare between the subjects the occurrence of turbulence and the risk of hemolysis and of thrombi formation. In particular, we modeled blood with the Navier–Stokes equations in the arbitrary Lagrangian–Eulerian framework, with a large eddy simulation model to describe the transition to turbulence and a resistive method to manage the valve dynamics, and we used a finite element discretization implemented in an in-house code for the numerical solution.
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spelling pubmed-106131562023-10-30 Turbulent blood dynamics in the left heart in the presence of mitral regurgitation: a computational study based on multi-series cine-MRI Bennati, Lorenzo Giambruno, Vincenzo Renzi, Francesca Di Nicola, Venanzio Maffeis, Caterina Puppini, Giovanni Luciani, Giovanni Battista Vergara, Christian Biomech Model Mechanobiol Original Paper In this work, we performed a computational image-based study of blood dynamics in the whole left heart, both in a healthy subject and in a patient with mitral valve regurgitation. We elaborated multi-series cine-MRI with the aim of reconstructing the geometry and the corresponding motion of left ventricle, left atrium, mitral and aortic valves, and aortic root of the subjects. This allowed us to prescribe such motion to computational blood dynamics simulations where, for the first time, the whole left heart motion of the subject is considered, allowing us to obtain reliable subject-specific information. The final aim is to investigate and compare between the subjects the occurrence of turbulence and the risk of hemolysis and of thrombi formation. In particular, we modeled blood with the Navier–Stokes equations in the arbitrary Lagrangian–Eulerian framework, with a large eddy simulation model to describe the transition to turbulence and a resistive method to manage the valve dynamics, and we used a finite element discretization implemented in an in-house code for the numerical solution. Springer Berlin Heidelberg 2023-07-03 2023 /pmc/articles/PMC10613156/ /pubmed/37400622 http://dx.doi.org/10.1007/s10237-023-01735-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Bennati, Lorenzo
Giambruno, Vincenzo
Renzi, Francesca
Di Nicola, Venanzio
Maffeis, Caterina
Puppini, Giovanni
Luciani, Giovanni Battista
Vergara, Christian
Turbulent blood dynamics in the left heart in the presence of mitral regurgitation: a computational study based on multi-series cine-MRI
title Turbulent blood dynamics in the left heart in the presence of mitral regurgitation: a computational study based on multi-series cine-MRI
title_full Turbulent blood dynamics in the left heart in the presence of mitral regurgitation: a computational study based on multi-series cine-MRI
title_fullStr Turbulent blood dynamics in the left heart in the presence of mitral regurgitation: a computational study based on multi-series cine-MRI
title_full_unstemmed Turbulent blood dynamics in the left heart in the presence of mitral regurgitation: a computational study based on multi-series cine-MRI
title_short Turbulent blood dynamics in the left heart in the presence of mitral regurgitation: a computational study based on multi-series cine-MRI
title_sort turbulent blood dynamics in the left heart in the presence of mitral regurgitation: a computational study based on multi-series cine-mri
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613156/
https://www.ncbi.nlm.nih.gov/pubmed/37400622
http://dx.doi.org/10.1007/s10237-023-01735-0
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