Patient-specific cardiovascular simulation has become a paradigm in cardiovascular
research and is emerging as a powerful tool in basic, translational and clinical research. In …

Recent progress in machine learning (ML), together with advanced computational power,
have provided new research opportunities in cardiovascular modeling. While classifying …

Background Computational modeling of cardiovascular flow is a growing and useful field,
but such simulations usually require the researcher to guess the flow's inlet and outlet …

BACKGROUND AND PURPOSE: Computational fluid dynamics has become a popular tool
for studying intracranial aneurysm hemodynamics, demonstrating success for retrospectively …

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 …

Computational fluid dynamics (CFD) has been used for several years to identify mechanical
risk factors associated with aneurysmal evolution and rupture as well as to understand flow …

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

In recent years, several techniques have been introduced that are capable of extracting 3D
three-component velocity fields in fluid flows. Fast-paced developments in both hardware …

Most reacting and two-phase flows of practical interest are turbulent but take place at low
Mach numbers or under incompressible conditions. In order to investigate the properties of …

Computational fluid dynamics (CFD) has been utilized to calculate hemodynamic
parameters in anterior communicating artery aneurysm (AComA), which is located at a …