Journal article 1436 views 176 downloads
A novel method for non-invasively detecting the severity and location of aortic aneurysms
,
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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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...
| Published in: | Biomechanics and Modeling in Mechanobiology |
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| ISSN: | 1617-7959 1617-7940 |
| Published: |
2017
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa31819 |
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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. 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. |
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| Item Description: |
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. |
| Keywords: |
Aneurysm detection, Experimental models, Numerical models, One-dimensional modelling, Systemic circulation, Waveforms |
| College: |
Faculty of Science and Engineering |
| Issue: |
4 |
| Start Page: |
1225 |
| End Page: |
1242 |