Patient-specific models of blood flow in the coronary arteries have entered clinical practice
worldwide to aid in the diagnosis and management of heart disease. This technology …

Computational fluid dynamic methods are currently being used clinically to simulate blood
flow and pressure and predict the functional significance of atherosclerotic lesions in patient …

Non invasive fractional flow reserve derived from CT coronary angiography (CT-FFR) has to
date been typically performed using the principles of computational fluid analysis in which a …

Background: Calculation of fractional flow reserve (FFR) using computed tomography (CT)-
based 3D anatomical models and computational fluid dynamics (CFD) has become a …

Recent efforts have demonstrated the ability of computational models to predict fractional
flow reserve from coronary artery imaging without the need for invasive instrumentation …

Non-invasive estimation of fractional flow reserve (FFR) values, the key index in the
diagnosis of obstructive coronary artery disease, is a promising alternative to traditional way …

The fractional flow reserve (FFR) is a widely used clinical index to evaluate the functional
severity of coronary stenosis. A computer simulation method based on patients' computed …

Fractional flow reserve (FFR) is a functional index quantifying the severity of coronary artery
lesions and is clinically obtained using an invasive, catheter-based measurement. Recently …

Non‐invasive coronary computed tomography (CT) angiography‐derived fractional flow
reserve (cFFR) is an emergent approach to determine the functional relevance of obstructive …

In this work we propose to validate the predictive capabilities of one-dimensional (1D) blood
flow models with full three-dimensional (3D) models in the context of patient-specific …