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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

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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...

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Published in: Biomechanics and Modeling in Mechanobiology
ISSN: 1617-7959 1617-7940
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa31819
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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&#x2013;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&#x2019; 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 &#x201C;A Non-Invasive AAA Detection Method Using Modelling, Measurements and in vitro Experiment&#x201D; 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>Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>EEN</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">College of Engineering</level><level id="2">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><action/><documentNotes>Released under the terms of a Creative Commons Attribution License (CC-BY).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></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 EEN 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 Engineering COLLEGE CODE EEN Swansea University 2021-01-14T12:47:33.5635769 2017-01-30T11:19:48.7194777 College of Engineering 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
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 College of Engineering
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hierarchy_top_title College of Engineering
hierarchy_parent_id collegeofengineering
hierarchy_parent_title College of Engineering
department_str Engineering{{{_:::_}}}College of Engineering{{{_:::_}}}Engineering
document_store_str 1
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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 2017-08-01T03:54:40Z
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