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A novel method for non-invasively detecting the severity and location of aortic aneurysms
The influence of an aortic aneurysm on blood flow waveforms is well established, but how to exploit this link for diagnostic purposes still remains challenging. This work uses a combination of experimental and computational modelling to study how aneurysms of various size affect the waveforms. Exper...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511604/ https://www.ncbi.nlm.nih.gov/pubmed/28220320 http://dx.doi.org/10.1007/s10237-017-0884-8 |
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author | Sazonov, Igor Khir, Ashraf W. Hacham, Wisam S. Boileau, Etienne Carson, Jason M. van Loon, Raoul Ferguson, Colin Nithiarasu, Perumal |
author_facet | Sazonov, Igor Khir, Ashraf W. Hacham, Wisam S. Boileau, Etienne Carson, Jason M. van Loon, Raoul Ferguson, Colin Nithiarasu, Perumal |
author_sort | Sazonov, Igor |
collection | PubMed |
description | The influence of an aortic aneurysm on blood flow waveforms is well established, but how to exploit this link for diagnostic purposes still remains challenging. This work uses a combination of experimental and computational modelling to study how aneurysms of various size affect the waveforms. Experimental studies are carried out on fusiform-type aneurysm models, and a comparison of results with those from a one-dimensional fluid–structure interaction model shows close agreement. Further mathematical analysis of these results allows the definition of several indicators that characterize the impact of an aneurysm on waveforms. These indicators are then further studied in a computational model of a systemic blood flow network. This demonstrates the methods’ ability to detect the location and severity of an aortic aneurysm through the analysis of flow waveforms in clinically accessible locations. Therefore, the proposed methodology shows a high potential for non-invasive aneurysm detectors/monitors. |
format | Online Article Text |
id | pubmed-5511604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-55116042017-07-31 A novel method for non-invasively detecting the severity and location of aortic aneurysms Sazonov, Igor Khir, Ashraf W. Hacham, Wisam S. Boileau, Etienne Carson, Jason M. van Loon, Raoul Ferguson, Colin Nithiarasu, Perumal Biomech Model Mechanobiol Original Paper The influence of an aortic aneurysm on blood flow waveforms is well established, but how to exploit this link for diagnostic purposes still remains challenging. This work uses a combination of experimental and computational modelling to study how aneurysms of various size affect the waveforms. Experimental studies are carried out on fusiform-type aneurysm models, and a comparison of results with those from a one-dimensional fluid–structure interaction model shows close agreement. Further mathematical analysis of these results allows the definition of several indicators that characterize the impact of an aneurysm on waveforms. These indicators are then further studied in a computational model of a systemic blood flow network. This demonstrates the methods’ ability to detect the location and severity of an aortic aneurysm through the analysis of flow waveforms in clinically accessible locations. Therefore, the proposed methodology shows a high potential for non-invasive aneurysm detectors/monitors. Springer Berlin Heidelberg 2017-02-21 2017 /pmc/articles/PMC5511604/ /pubmed/28220320 http://dx.doi.org/10.1007/s10237-017-0884-8 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 | Original Paper Sazonov, Igor Khir, Ashraf W. Hacham, Wisam S. Boileau, Etienne Carson, Jason M. van Loon, Raoul Ferguson, Colin Nithiarasu, Perumal A novel method for non-invasively detecting the severity and location of aortic aneurysms |
title | A novel method for non-invasively detecting the severity and location of aortic aneurysms |
title_full | A novel method for non-invasively detecting the severity and location of aortic aneurysms |
title_fullStr | A novel method for non-invasively detecting the severity and location of aortic aneurysms |
title_full_unstemmed | A novel method for non-invasively detecting the severity and location of aortic aneurysms |
title_short | A novel method for non-invasively detecting the severity and location of aortic aneurysms |
title_sort | novel method for non-invasively detecting the severity and location of aortic aneurysms |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511604/ https://www.ncbi.nlm.nih.gov/pubmed/28220320 http://dx.doi.org/10.1007/s10237-017-0884-8 |
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