CFD and FSI Face-Off: Revealing Hemodynamic Differences in Cerebral Aneurysms

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Abstract

Accurately modeling the hemodynamics of intracranial aneurysms is crucial for understanding theirbehavior and potential progression. While computational fluid dynamics (CFD) simulations are commonlyused to assess blood flow patterns, their rigid-wall assumption may overlook important biomechanicalinteractions within the vessel. In contrast, fluid-structure interaction (FSI) simulations incorporate vesselwall deformation, providing a more realistic representation of vascular dynamics.This study investigated aneurysm rupture risk by correlating von Mises stress distribution and walldisplacement with rupture status. In the first phase, we aimed to highlight the importance of accounting forvessel wall mechanics in aneurysm stability assessments. For this purpose, we analyzed an additionalaneurysm case with knowledge of its rupture status. We compared hemodynamic variables between CFDand FSI simulations to assess the impact of wall deformation. Results revealed that ignoring vessel wallmechanics may lead to insufficient evaluation of aneurysm stability, as critical flow features were lessaccurately captured in CFD models. In the second part of the study, we analyzed six female patients tominimize gender bias, three with stable aneurysms and three with confirmed rupture status. By solving theFSI problem for these cases, we examined the relationship between mechanical wall behavior and aneurysmstability. Our analysis demonstrated distinct patterns in von Mises stress and wall displacement,underscoring their potential as predictive indicators. All simulations were performed using our massivelyparallel, in-house developed C++ code tailored for high-performance computing of coupled fluid andstructural dynamics.These findings emphasize the need for improved modeling approaches that integrate wall deformation toenhance the accuracy of hemodynamic assessments. Incorporating such refinements is essential foradvancing aneurysm research and improving clinical insights into their development and management.

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