BACKGROUND: Currently, noninvasive arteriography for the diagnosis of coronary artery
disease is clinically limited to the computed tomography scanning, where patients have to …

Purpose To develop a free‐running 3D radial whole‐heart multiecho gradient echo (ME‐
GRE) framework for cardiac‐and respiratory‐motion‐resolved fat fraction (FF) quantification …

Cardiac magnetic resonance imaging (MRI) is widely used for non-invasive assessment of
cardiac morphology, function, and tissue characteristics due to its exquisite soft-tissue …

Background Despite the widespread use of cine MRI for evaluation of cardiac function,
existing real‐time methods do not easily enable quantification of ventricular function …

Background Cardiovascular magnetic resonance imaging (CMR) faces challenges due to
the interference of bright fat signals in visualizing structures, such as coronary arteries …

A similarity-driven multi-dimensional binning algorithm (SIMBA) reconstruction of free-
running cardiac magnetic resonance imaging data was previously proposed. While very …

Purpose Myocardial fat infiltrations are associated with a range of cardiomyopathies. The
purpose of this study was to perform cardio‐respiratory motion‐correction for model‐based …

Artificial intelligence (AI) stands to impact all aspects of the cardiac MRI (magnetic
resonance imaging) workflow. Recent advances in data processing power and sharing of …

Background Irregular cardiac motion can render conventional segmented cine MRI
nondiagnostic. Clustering has been proposed for cardiac motion binning and may be …

Introduction One of the major challenges in CMR is to abbreviate scan times to create
shorter protocols that are compatible with clinical workflows. In 3D magnetic resonance …