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Rapid and accurate simulation of cerebral aneurysm flow modifications by flowdiverters (FDs) can help improving patient-specific intervention and predictingtreatment outcome. However, with explicit FD devices being placed inpatient-specific aneurysm model, the computational domain must be resolvedaround the thin stent wires, leading to high computational cost incomputational fluid dynamics (CFD). Classic homogeneous porous medium (PM)methods cannot accurately predict the post-stenting aneurysmal flow field dueto the inhomogeneous FD wire distributions on anatomic arteries. We propose anovel approach that models the FD flow modification as a thin inhomogeneousporous medium (iPM). It improves over classic PM approaches in that, first, FDis treated as a screen, which is more accurate than the classicDarcy-Forchheimer relation based on 3D PM. second, the pressure drop iscalculated using local FD geometric parameters across an inhomogeneous PM,which is more realistic. To test its accuracy and speed, we applied the iPMtechnique to simulate the post stenting flow field in three patient-specificaneurysms and compared the results against CFD simulations with explicit FDdevices. The iPM CFD ran 500% faster than the explicit CFD while achieving94%-99% accuracy. Thus iPM is a promising clinical bedside modeling tool toassist endovascular interventions with FD and stents.

Cerebral Aneurysm Flow Diverter Modeled as a Thin Inhomogeneous Porous Medium in Hemodynamic Simulations