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

Authors :
Igor Sazonov
Perumal Nithiarasu
Jason M. Carson
Etienne Boileau
Ashraf W. Khir
Wisam S. Hacham
Raoul van Loon
Colin J Ferguson
Source :
Biomechanics and Modeling in Mechanobiology
Publication Year :
2017
Publisher :
Springer Berlin Heidelberg, 2017.

Abstract

© The Author(s) 2017. 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.

Details

Language :
English
ISSN :
16177940 and 16177959
Volume :
16
Issue :
4
Database :
OpenAIRE
Journal :
Biomechanics and Modeling in Mechanobiology
Accession number :
edsair.doi.dedup.....0a189049a83f681691a3e9b967e465f0