Non-invasive Diagnostics of Blockage Growth in the Descending Aorta-computational Approach

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aut.relation.journalMedical and Biological Engineering and Computingen_NZ
aut.researcherAl-Jumaily, Ahmed
dc.contributor.authorAl-Rawi, Men_NZ
dc.contributor.authorAl-Jumaily, AMen_NZ
dc.contributor.authorBelkacemi, Den_NZ
dc.date.accessioned2022-10-11T23:52:51Z
dc.date.available2022-10-11T23:52:51Z
dc.date.copyright2022en_NZ
dc.date.issued2022en_NZ
dc.description.abstractAtherosclerosis causes blockages to the main arteries such as the aorta preventing blood flow from delivering oxygen to the organs. Non-invasive diagnosis of these blockages is difficult, particularly in primary healthcare. In this paper, the effect of arterial blockage development and growth is investigated at the descending aorta on some possible non-invasive assessment parameters including the blood pressure waveform, wall shear stress (WSS), time-average WSS (TAWSS) and the oscillation shear index (OSI). Blockage severity growth is introduced in a simulation model as 25%, 35%, 50% and 65% stenosis at the descending aorta based on specific healthy control aorta data clinically obtained. A 3D aorta model with invasive pulsatile waveforms (blood flow and pressure) is used in the CFD simulation. Blockage severity is assessed by using blood pressure measurements at the left subclavian artery. An arterial blockage growth more than 35% of the lumen diameter significantly affects the pressure. A strong correlation is also observed between the ascending aorta pressure values, pressure at the left subclavian artery and the relative residence time (RRT). An increase of RRT downstream from the stenosis indicates a 35% stenosis at the descending aorta which results in high systolic and diastolic pressure readings. The findings of this study could be further extended by transferring the waveform reading from the left subclavian artery to the brachial artery.en_NZ
dc.identifier.citationMedical and Biological Engineering and Computing 60, 3265–3279 (2022). https://doi.org/10.1007/s11517-022-02665-2
dc.identifier.doi10.1007/s11517-022-02665-2en_NZ
dc.identifier.issn0140-0118en_NZ
dc.identifier.issn1741-0444en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/15514
dc.languageengen_NZ
dc.publisherSpringeren_NZ
dc.relation.urihttps://link.springer.com/article/10.1007/s11517-022-02665-2
dc.rights© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectAtherosclerosisen_NZ
dc.subjectCarreau-Yasuda modelen_NZ
dc.subjectCFDen_NZ
dc.subjectOscillatory shear indexen_NZ
dc.subjectRelative residence timeen_NZ
dc.titleNon-invasive Diagnostics of Blockage Growth in the Descending Aorta-computational Approachen_NZ
dc.typeJournal Article
pubs.elements-id479822
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS
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