Aneurysm rupture prediction based on strain energy-CFD modelling

Al-Jumaily, Ahmed M. and Embong, Abd Halim and AL-Rawi, Mohammad and Mahadevan, Giri and Shukei, Sugita (2023) Aneurysm rupture prediction based on strain energy-CFD modelling. Bioengineering, 10 (10). pp. 1-16. E-ISSN 2306-5354

	PDF (Article) - Published Version Restricted to Registered users only Download (6MB) | Request a copy
	PDF - Published Version Restricted to Registered users only Download (327kB) | Request a copy

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.

Item Type:	Article (Journal)
Additional Information:	107597/7277
Uncontrolled Keywords:	CFD; aneurysm; energy strain function; mechanical properties; cyclic loading
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA164 Bioengineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Abd Halim Embong
Date Deposited:	23 Oct 2023 14:18
Last Modified:	05 Dec 2023 11:31
URI:	http://irep.iium.edu.my/id/eprint/107597

Actions (login required)

View Item