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 …

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

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

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 …

Background Rupture is the most serious consequence of cerebral aneurysms, and its
likelihood depends on nonmodifiable and modifiable risk factors. Recent efforts have …

Background and Purpose—Hemodynamic forces may play a role in the recanalization of
coiled aneurysms. The purpose of this study was to investigate the influence of presurgical …

Image-based hemodynamic simulations to assess the rupture risk or improve the treatment
planning of intracranial aneurysms have become popular recently. However, due to strong …