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Three-dimensional cardiac computational modelling: methods, features and applications
The combination of computational models and biophysical simulations can help to interpret an array of experimental data and contribute to the understanding, diagnosis and treatment of complex diseases such as cardiac arrhythmias. For this reason, three-dimensional (3D) cardiac computational modellin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4424572/ https://www.ncbi.nlm.nih.gov/pubmed/25928297 http://dx.doi.org/10.1186/s12938-015-0033-5 |
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author | Lopez-Perez, Alejandro Sebastian, Rafael Ferrero, Jose M |
author_facet | Lopez-Perez, Alejandro Sebastian, Rafael Ferrero, Jose M |
author_sort | Lopez-Perez, Alejandro |
collection | PubMed |
description | The combination of computational models and biophysical simulations can help to interpret an array of experimental data and contribute to the understanding, diagnosis and treatment of complex diseases such as cardiac arrhythmias. For this reason, three-dimensional (3D) cardiac computational modelling is currently a rising field of research. The advance of medical imaging technology over the last decades has allowed the evolution from generic to patient-specific 3D cardiac models that faithfully represent the anatomy and different cardiac features of a given alive subject. Here we analyse sixty representative 3D cardiac computational models developed and published during the last fifty years, describing their information sources, features, development methods and online availability. This paper also reviews the necessary components to build a 3D computational model of the heart aimed at biophysical simulation, paying especial attention to cardiac electrophysiology (EP), and the existing approaches to incorporate those components. We assess the challenges associated to the different steps of the building process, from the processing of raw clinical or biological data to the final application, including image segmentation, inclusion of substructures and meshing among others. We briefly outline the personalisation approaches that are currently available in 3D cardiac computational modelling. Finally, we present examples of several specific applications, mainly related to cardiac EP simulation and model-based image analysis, showing the potential usefulness of 3D cardiac computational modelling into clinical environments as a tool to aid in the prevention, diagnosis and treatment of cardiac diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-015-0033-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4424572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44245722015-05-09 Three-dimensional cardiac computational modelling: methods, features and applications Lopez-Perez, Alejandro Sebastian, Rafael Ferrero, Jose M Biomed Eng Online Review The combination of computational models and biophysical simulations can help to interpret an array of experimental data and contribute to the understanding, diagnosis and treatment of complex diseases such as cardiac arrhythmias. For this reason, three-dimensional (3D) cardiac computational modelling is currently a rising field of research. The advance of medical imaging technology over the last decades has allowed the evolution from generic to patient-specific 3D cardiac models that faithfully represent the anatomy and different cardiac features of a given alive subject. Here we analyse sixty representative 3D cardiac computational models developed and published during the last fifty years, describing their information sources, features, development methods and online availability. This paper also reviews the necessary components to build a 3D computational model of the heart aimed at biophysical simulation, paying especial attention to cardiac electrophysiology (EP), and the existing approaches to incorporate those components. We assess the challenges associated to the different steps of the building process, from the processing of raw clinical or biological data to the final application, including image segmentation, inclusion of substructures and meshing among others. We briefly outline the personalisation approaches that are currently available in 3D cardiac computational modelling. Finally, we present examples of several specific applications, mainly related to cardiac EP simulation and model-based image analysis, showing the potential usefulness of 3D cardiac computational modelling into clinical environments as a tool to aid in the prevention, diagnosis and treatment of cardiac diseases. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12938-015-0033-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-17 /pmc/articles/PMC4424572/ /pubmed/25928297 http://dx.doi.org/10.1186/s12938-015-0033-5 Text en © Lopez-Perez et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Lopez-Perez, Alejandro Sebastian, Rafael Ferrero, Jose M Three-dimensional cardiac computational modelling: methods, features and applications |
title | Three-dimensional cardiac computational modelling: methods, features and applications |
title_full | Three-dimensional cardiac computational modelling: methods, features and applications |
title_fullStr | Three-dimensional cardiac computational modelling: methods, features and applications |
title_full_unstemmed | Three-dimensional cardiac computational modelling: methods, features and applications |
title_short | Three-dimensional cardiac computational modelling: methods, features and applications |
title_sort | three-dimensional cardiac computational modelling: methods, features and applications |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4424572/ https://www.ncbi.nlm.nih.gov/pubmed/25928297 http://dx.doi.org/10.1186/s12938-015-0033-5 |
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