The pathogenesis of intracranial aneurysms remains complex and multifactorial. While
vascular, genetic, and epidemiological factors play a role, nascent aneurysm formation is …

Computational modeling of cerebral aneurysms, derived from clinical 3D angiography, has
become widespread over the past 15 years. While such “image-based” or “patient-specific” …

Purpose Image-based computational fluid dynamics (CFD) is widely used to predict
intracranial aneurysm wall shear stress (WSS), particularly with the goal of improving rupture …

Purpose Advanced morphology analysis and image-based hemodynamic simulations are
increasingly used to assess the rupture risk of intracranial aneurysms (IAs). However, the …

BACKGROUND AND PURPOSE: Computational fluid dynamics simulations of
neurovascular diseases are impacted by various modeling assumptions and uncertainties …

With the increased availability of computational resources, the past decade has seen a rise
in the use of computational fluid dynamics (CFD) for medical applications. There has been …

Computational blood flow modeling in intracranial aneurysms (IAs) has enormous potential
for the assessment of highly resolved hemodynamics and derived wall stresses. This results …

Purpose Assessing the rupture probability of intracranial aneurysms (IAs) remains
challenging. Therefore, hemodynamic simulations are increasingly applied toward …

This paper describes an efficient ghost-cell immersed boundary method for incompressible
flow simulations. The method employs a locally directional extrapolation scheme along all …

Abstract The Cerebral Aneurysm Detection and Analysis (CADA) challenge was organized
to support the development and benchmarking of algorithms for detecting, analyzing, and …