Brain aneurysms are referred to be 'silent killers' due to their asymptomatic nature upon rupture. Recent clinical endeavors aim to use blood flow characteristics to enhance the prediction of aneurysm rupture. Investigating aneurysmal hemodynamics is challenging due to the limitations in spatial and temporal resolutions of current in vivo data, including Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). This video demonstrates the utilization of modal analysis on two representatives from a cohort of aneurysm patients to evaluate its effectiveness in analyzing blood flow in cerebral aneurysms. We employed MRI scans from the Aneurisk project to generate 3D models of patient-specific aneurysms in the internal carotid artery (ICA). The models were simulated with the Computational Fluid Dynamics approach at high resolution. Subsequently, DMD was employed to deconstruct the flow into dynamic modes. Our findings demonstrate that DMD may proficiently characterize the dynamics of the inflow jet by differentiating large-scale structures and flow instabilities.
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