Book chapter
Maximum principal AAA wall stress is proportional to wall thickness
Computational Biomechanics for Medicine, pp.43-53
Springer
2018
Abstract
Abdominal aortic aneurysm (AAA) is a permanent and irreversible dilation of the lower region of the aorta. It is an asymptomatic condition which if left untreated can expand to the point of rupture. Rupture of an artery will occur when the local wall stress exceeds the local wall strength. Therefore, estimation of a patient’s AAA wall stress non-invasively, quickly, and reliably is desirable. One solution to this problem is to use recently-published methods to compute AAA wall stress, using geometry from CT scans, and median arterial pressure as the load. Our method is embedded in the software platform BioPARR—Biomechanics based Prediction of Aneurysm Rupture Risk, freely available from http://bioparr.mech.uwa.edu.au/. Experience with over 50 patient-specific stress analyses, as well as common sense, suggests that the AAA wall stress is critically dependent on the local AAA wall thickness. This thickness is currently very difficult to measure in the clinical environment. Therefore, we conducted a simulation study to elucidate the relationship between the wall thickness and the maximum principal stress. The results of the analysis of three cases presented here unequivocally demonstrate that this relationship is approximately linear, bringing us closer to being able to compute predictive stress envelopes for every patient.
Details
- Title
- Maximum principal AAA wall stress is proportional to wall thickness
- Authors/Creators
- K. Miller (Author/Creator) - The University of Western AustraliaG.R. Joldes (Author/Creator) - Murdoch UniversityJ. Qian (Author/Creator) - The University of Western AustraliaA.P. Patel (Author/Creator) - The University of Western AustraliaM.S. Jung (Author/Creator) - The University of Western AustraliaA.C.R. Tavner (Author/Creator)A. Wittek (Author/Creator) - The University of Western Australia
- Contributors
- P.M.F. Nielsen (Editor)A. Wittek (Editor) - The University of Western AustraliaK. Miller (Editor) - The University of Western AustraliaB. Doyle (Editor)G.R. Joldes (Editor) - Murdoch UniversityP. Nash (Editor)
- Publication Details
- Computational Biomechanics for Medicine, pp.43-53
- Publisher
- Springer
- Identifiers
- 991005541551807891
- Copyright
- © 2019 Springer International Publishing AG, part of Springer Nature
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Book chapter
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