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; Loon, Raoul van; Ferguson, Colin; Nithiarasu, Perumal

doi:10.1007/s10237-017-0884-8

Journal article 1623 views 198 downloads

A novel method for non-invasively detecting the severity and location of aortic aneurysms

Igor Sazonov

, Ashraf W. Khir, Wisam S. Hacham, Etienne Boileau, Jason Carson, Raoul van Loon

, Colin Ferguson, Perumal Nithiarasu

Biomechanics and Modeling in Mechanobiology, Volume: 16, Issue: 4, Pages: 1225 - 1242

Swansea University Authors: Igor Sazonov , Etienne Boileau, Jason Carson, Raoul van Loon , Perumal Nithiarasu

PDF | Version of Record

Released under the terms of a Creative Commons Attribution License (CC-BY).
Download (1.22MB)

Check full text

DOI (Published version): 10.1007/s10237-017-0884-8

Abstract

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...

Full description

Published in:	Biomechanics and Modeling in Mechanobiology
ISSN:	1617-7959 1617-7940
Published:	2017
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa31819

first_indexed	2017-01-30T14:51:34Z
last_indexed	2021-01-15T03:50:16Z
id	cronfa31819
recordtype	SURis
fullrecord	<?xml version="1.0"?><rfc1807><datestamp>2021-01-14T12:47:33.5635769</datestamp><bib-version>v2</bib-version><id>31819</id><entry>2017-01-30</entry><title>A novel method for non-invasively detecting the severity and location of aortic aneurysms</title><swanseaauthors><author><sid>05a507952e26462561085fb6f62c8897</sid><ORCID>0000-0001-6685-2351</ORCID><firstname>Igor</firstname><surname>Sazonov</surname><name>Igor Sazonov</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>51e4ba01fec7b282118cf27c25493b9b</sid><ORCID/><firstname>Etienne</firstname><surname>Boileau</surname><name>Etienne Boileau</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>ced1a1a2f38e4b283f16f138ce1131c5</sid><firstname>Jason</firstname><surname>Carson</surname><name>Jason Carson</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>880b30f90841a022f1e5bac32fb12193</sid><ORCID>0000-0003-3581-5827</ORCID><firstname>Raoul</firstname><surname>van Loon</surname><name>Raoul van Loon</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>3b28bf59358fc2b9bd9a46897dbfc92d</sid><ORCID>0000-0002-4901-2980</ORCID><firstname>Perumal</firstname><surname>Nithiarasu</surname><name>Perumal Nithiarasu</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2017-01-30</date><deptcode>ACEM</deptcode><abstract>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.</abstract><type>Journal Article</type><journal>Biomechanics and Modeling in Mechanobiology</journal><volume>16</volume><journalNumber>4</journalNumber><paginationStart>1225</paginationStart><paginationEnd>1242</paginationEnd><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1617-7959</issnPrint><issnElectronic>1617-7940</issnElectronic><keywords>Aneurysm detection, Experimental models, Numerical models, One-dimensional modelling, Systemic circulation, Waveforms</keywords><publishedDay>1</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2017</publishedYear><publishedDate>2017-08-01</publishedDate><doi>10.1007/s10237-017-0884-8</doi><url/><notes>The work is aimed on developing method of non-invasive detecting AA and its monitoring in order to provide clinicians with the non-expensive, easily operating and effective tool for aneurysm screening, monitoring and the intervention time estimation. The method will be based on measuring and analysis the pressure/velocity waveforms in accessible parts of human body. The method was used in EPSRC-proposal “A Non-Invasive AAA Detection Method Using Modelling, Measurements and in vitro Experiment” which was submitted in 2017 (unfortunately not successively). The method is very promising and can base of other similar projects.</notes><college>COLLEGE NANME</college><department>Aerospace, Civil, Electrical, and Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ACEM</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-01-14T12:47:33.5635769</lastEdited><Created>2017-01-30T11:19:48.7194777</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering</level></path><authors><author><firstname>Igor</firstname><surname>Sazonov</surname><orcid>0000-0001-6685-2351</orcid><order>1</order></author><author><firstname>Ashraf W.</firstname><surname>Khir</surname><order>2</order></author><author><firstname>Wisam S.</firstname><surname>Hacham</surname><order>3</order></author><author><firstname>Etienne</firstname><surname>Boileau</surname><orcid/><order>4</order></author><author><firstname>Jason</firstname><surname>Carson</surname><order>5</order></author><author><firstname>Raoul</firstname><surname>van Loon</surname><orcid>0000-0003-3581-5827</orcid><order>6</order></author><author><firstname>Colin</firstname><surname>Ferguson</surname><order>7</order></author><author><firstname>Perumal</firstname><surname>Nithiarasu</surname><orcid>0000-0002-4901-2980</orcid><order>8</order></author></authors><documents><document><filename>0031819-01032017152735.pdf</filename><originalFilename>sazonov2017(2)v2.pdf</originalFilename><uploaded>2017-03-01T15:27:35.0600000</uploaded><type>Output</type><contentLength>1328448</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Released under the terms of a Creative Commons Attribution License (CC-BY).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling	2021-01-14T12:47:33.5635769 v2 31819 2017-01-30 A novel method for non-invasively detecting the severity and location of aortic aneurysms 05a507952e26462561085fb6f62c8897 0000-0001-6685-2351 Igor Sazonov Igor Sazonov true false 51e4ba01fec7b282118cf27c25493b9b Etienne Boileau Etienne Boileau true false ced1a1a2f38e4b283f16f138ce1131c5 Jason Carson Jason Carson true false 880b30f90841a022f1e5bac32fb12193 0000-0003-3581-5827 Raoul van Loon Raoul van Loon true false 3b28bf59358fc2b9bd9a46897dbfc92d 0000-0002-4901-2980 Perumal Nithiarasu Perumal Nithiarasu true false 2017-01-30 ACEM 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. Journal Article Biomechanics and Modeling in Mechanobiology 16 4 1225 1242 1617-7959 1617-7940 Aneurysm detection, Experimental models, Numerical models, One-dimensional modelling, Systemic circulation, Waveforms 1 8 2017 2017-08-01 10.1007/s10237-017-0884-8 The work is aimed on developing method of non-invasive detecting AA and its monitoring in order to provide clinicians with the non-expensive, easily operating and effective tool for aneurysm screening, monitoring and the intervention time estimation. The method will be based on measuring and analysis the pressure/velocity waveforms in accessible parts of human body. The method was used in EPSRC-proposal “A Non-Invasive AAA Detection Method Using Modelling, Measurements and in vitro Experiment” which was submitted in 2017 (unfortunately not successively). The method is very promising and can base of other similar projects. COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2021-01-14T12:47:33.5635769 2017-01-30T11:19:48.7194777 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Igor Sazonov 0000-0001-6685-2351 1 Ashraf W. Khir 2 Wisam S. Hacham 3 Etienne Boileau 4 Jason Carson 5 Raoul van Loon 0000-0003-3581-5827 6 Colin Ferguson 7 Perumal Nithiarasu 0000-0002-4901-2980 8 0031819-01032017152735.pdf sazonov2017(2)v2.pdf 2017-03-01T15:27:35.0600000 Output 1328448 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution License (CC-BY). true eng http://creativecommons.org/licenses/by/4.0/
title	A novel method for non-invasively detecting the severity and location of aortic aneurysms
spellingShingle	A novel method for non-invasively detecting the severity and location of aortic aneurysms Igor Sazonov Etienne Boileau Jason Carson Raoul van Loon Perumal Nithiarasu
title_short	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_sort	A novel method for non-invasively detecting the severity and location of aortic aneurysms
author_id_str_mv	05a507952e26462561085fb6f62c8897 51e4ba01fec7b282118cf27c25493b9b ced1a1a2f38e4b283f16f138ce1131c5 880b30f90841a022f1e5bac32fb12193 3b28bf59358fc2b9bd9a46897dbfc92d
author_id_fullname_str_mv	05a507952e26462561085fb6f62c8897_*_Igor Sazonov 51e4ba01fec7b282118cf27c25493b9b__Etienne Boileau ced1a1a2f38e4b283f16f138ce1131c5__Jason Carson 880b30f90841a022f1e5bac32fb12193__Raoul van Loon 3b28bf59358fc2b9bd9a46897dbfc92d_**_Perumal Nithiarasu
author	Igor Sazonov Etienne Boileau Jason Carson Raoul van Loon Perumal Nithiarasu
author2	Igor Sazonov Ashraf W. Khir Wisam S. Hacham Etienne Boileau Jason Carson Raoul van Loon Colin Ferguson Perumal Nithiarasu
format	Journal article
container_title	Biomechanics and Modeling in Mechanobiology
container_volume	16
container_issue	4
container_start_page	1225
publishDate	2017
institution	Swansea University
issn	1617-7959 1617-7940
doi_str_mv	10.1007/s10237-017-0884-8
college_str	Faculty of Science and Engineering
hierarchytype
hierarchy_top_id	facultyofscienceandengineering
hierarchy_top_title	Faculty of Science and Engineering
hierarchy_parent_id	facultyofscienceandengineering
hierarchy_parent_title	Faculty of Science and Engineering
department_str	School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str	1
active_str	0
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.
published_date	2017-08-01T07:04:48Z
_version_	1821388139326865408
score	11.048149

A novel method for non-invasively detecting the severity and location of aortic aneurysms

Similar Items