Aneurysm Rupture Prediction Based on Strain Energy-CFD Modelling
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MDPI AG
Abstract
This paper presents a Patient-Specific Aneurysm Model (PSAM) analyzed using Computational Fluid Dynamics (CFD). The PSAM combines the energy strain function and stress-strain relationship of the dilated vessel wall to predict the rupture of aneurysms. This predictive model is developed by analyzing ultrasound images acquired with a 6-9 MHz Doppler transducer, which provides real-time data on the arterial deformations. The patient-specific cyclic loading on the PSAM is extrapolated from the strain energy function developed using historical stress-strain relationships. Multivariant factors are proposed to locate points of arterial weakening that precede rupture. Biaxial tensile tests are used to calculate the material properties of the artery wall, enabling the observation of the time-dependent material response in wall rupture formation. In this way, correlations between the wall deformation and tissue failure mode can predict the aneurysm's propensity to rupture. This method can be embedded within the ultrasound measures used to diagnose potential AAA ruptures.Description
Keywords
aneurysm, CFD, cyclic loading, energy strain function, mechanical properties, CFD, aneurysm, cyclic loading, energy strain function, mechanical properties, 4012 Fluid Mechanics and Thermal Engineering, 4005 Civil Engineering, 40 Engineering, 4003 Biomedical Engineering, Biomedical Imaging, Cardiovascular, Cardiovascular, 4003 Biomedical engineering
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Bioengineering (Basel), ISSN: 2306-5354 (Print); 2306-5354 (Online), MDPI AG, 10(10), 1231-. doi: 10.3390/bioengineering10101231
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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).