Al-Jumaily, Ahmed MEmbong, Abd Halim BinAl-Rawi, MohammadMahadevan, GiriSugita, Shukei2023-11-272023-11-272023-10-21Bioengineering (Basel), ISSN: 2306-5354 (Print); 2306-5354 (Online), MDPI AG, 10(10), 1231-. doi: 10.3390/bioengineering101012312306-53542306-5354http://hdl.handle.net/10292/17006This 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.© 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/).https://creativecommons.org/licenses/by/4.0/aneurysmCFDcyclic loadingenergy strain functionmechanical propertiesCFDaneurysmcyclic loadingenergy strain functionmechanical properties4012 Fluid Mechanics and Thermal Engineering4005 Civil Engineering40 Engineering4003 Biomedical EngineeringBiomedical ImagingCardiovascularCardiovascular4003 Biomedical engineeringJournal ArticleOpenAccess10.3390/bioengineering10101231