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

Cardiovascular magnetic resonance (CMR) phase contrast imaging has undergone a wide
range of changes with the development and availability of improved calibration procedures …

High-fidelity models of multiphysics fluid flow processes are often computationally
expensive. On the other hand, less accurate low-fidelity models could be efficiently executed …

Although complex geometries are attainable with additive manufacturing (AM), a major
barrier preventing its use in mission-critical applications is the lack of geometric accuracy of …

Patient-specific computational fluid dynamics (CFD) is a promising tool that provides highly
resolved haemodynamics information. The choice of blood rheology is an assumption in …

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 …

Hemodynamic factors, induced by pulsatile blood flow, play a crucial role in vascular health
and diseases, such as the initiation and progression of atherosclerosis. Computational fluid …

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” …

Background Since the 1960s, the origins of intracranial aneurysm bruits and musical
murmurs have been debated, with proposed mechanisms ranging from self-excitation (ie …