Have a personal or library account? Click to login
Fluid–structure interaction simulation for studying hemodynamics and rupture risk of patient-specific intracranial aneurysms Cover

Fluid–structure interaction simulation for studying hemodynamics and rupture risk of patient-specific intracranial aneurysms

By: Chang Ruan,  Qi Yu,  Jingyuan Zhou,  Xinying Ou,  Yi Liu and  Yu Chen  
Open Access
|May 2024

Abstract

The role of regional hemodynamics in intracranial aneurysms (IAs) hemodynamics and rupture risk has been widely discussed based on numerical models over the past decades. The aim of this paper is to investigate hemodynamics and rupture risk with a complicated IA model. Fluid–structure interaction (FSI) simulations were performed to quantify the hemodynamic characteristics of the established IA models. Hemodynamic parameters, including wall shear stress (WSS), flow velocity, and flow pattern, were calculated and analyzed. In this paper, the risk assessment of intracranial aneurysms focuses on the mechanical properties of blood flow and blood vessel walls. Vortex flow and concentrated impact field during blood flow play a decisive role in the rupture and development of aneurysms. The uneven distribution of wall shear stress on the vessel wall has a great influence on growth and rupture. By observing the simulation results of rigid walls, risks can be predicted efficiently and accurately. This paper focuses on the relationship between hemodynamics and rupture risk with a double intracranial aneurysms disease mode and provides a new perspective on the treatment of intracranial aneurysms.

DOI: https://doi.org/10.37190/abb-02247-2023-03 | Journal eISSN: 2450-6303 | Journal ISSN: 1509-409X
Language: English
Page range: 73 - 85
Submitted on: May 9, 2023
Accepted on: Nov 28, 2023
Published on: May 18, 2024
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Chang Ruan, Qi Yu, Jingyuan Zhou, Xinying Ou, Yi Liu, Yu Chen, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.