Aneurysm Rupture Prediction Based on Strain Energy-CFD Modelling

Author:

Al-Jumaily Ahmed M.1,Embong Abd Halim Bin2ORCID,AL-Rawi Mohammad3ORCID,Mahadevan Giri4,Sugita Shukei5ORCID

Affiliation:

1. Institute of Biomedical Technologies, Auckland University of Technology, Auckland 1010, New Zealand

2. Mechatronics Department, Kulliyyah of Engineering, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia

3. Centre for Engineering and Industrial Design, Waikato Institute of Technology, Hamilton 3240, New Zealand

4. Department of General Surgery, Counties Manukau District Health Board, Auckland 1640, New Zealand

5. Centre for Fostering Young and Innovative Researchers, Nagoya Institute of Technology, Nagoya 466-8555, Japan

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.

Publisher

MDPI AG

Subject

Bioengineering

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