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Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms

Coronary artery disease (CAD) is the most common type of heart disease in western countries. Early detection and diagnosis of CAD is quintessential to preventing mortality and subsequent complications. We believe hemodynamic data derived from patient-specific computational models could facilitate mo...

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Detalles Bibliográficos
Autores principales: Zifan, Ali, Liatsis, Panos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4925948/
https://www.ncbi.nlm.nih.gov/pubmed/27403203
http://dx.doi.org/10.1155/2016/2695962
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author Zifan, Ali
Liatsis, Panos
author_facet Zifan, Ali
Liatsis, Panos
author_sort Zifan, Ali
collection PubMed
description Coronary artery disease (CAD) is the most common type of heart disease in western countries. Early detection and diagnosis of CAD is quintessential to preventing mortality and subsequent complications. We believe hemodynamic data derived from patient-specific computational models could facilitate more accurate prediction of the risk of atherosclerosis. We introduce a semiautomated method to build 3D patient-specific coronary vessel models from 2D monoplane angiogram images. The main contribution of the method is a robust segmentation approach using dynamic programming combined with iterative 3D reconstruction to build 3D mesh models of the coronary vessels. Results indicate the accuracy and robustness of the proposed pipeline. In conclusion, patient-specific modelling of coronary vessels is of vital importance for developing accurate computational flow models and studying the hemodynamic effects of the presence of plaques on the arterial walls, resulting in lumen stenoses, as well as variations in the angulations of the coronary arteries.
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spelling pubmed-49259482016-07-11 Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms Zifan, Ali Liatsis, Panos Comput Math Methods Med Research Article Coronary artery disease (CAD) is the most common type of heart disease in western countries. Early detection and diagnosis of CAD is quintessential to preventing mortality and subsequent complications. We believe hemodynamic data derived from patient-specific computational models could facilitate more accurate prediction of the risk of atherosclerosis. We introduce a semiautomated method to build 3D patient-specific coronary vessel models from 2D monoplane angiogram images. The main contribution of the method is a robust segmentation approach using dynamic programming combined with iterative 3D reconstruction to build 3D mesh models of the coronary vessels. Results indicate the accuracy and robustness of the proposed pipeline. In conclusion, patient-specific modelling of coronary vessels is of vital importance for developing accurate computational flow models and studying the hemodynamic effects of the presence of plaques on the arterial walls, resulting in lumen stenoses, as well as variations in the angulations of the coronary arteries. Hindawi Publishing Corporation 2016 2016-06-15 /pmc/articles/PMC4925948/ /pubmed/27403203 http://dx.doi.org/10.1155/2016/2695962 Text en Copyright © 2016 A. Zifan and P. Liatsis. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zifan, Ali
Liatsis, Panos
Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms
title Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms
title_full Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms
title_fullStr Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms
title_full_unstemmed Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms
title_short Patient-Specific Computational Models of Coronary Arteries Using Monoplane X-Ray Angiograms
title_sort patient-specific computational models of coronary arteries using monoplane x-ray angiograms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4925948/
https://www.ncbi.nlm.nih.gov/pubmed/27403203
http://dx.doi.org/10.1155/2016/2695962
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