We propose a novel unsupervised deep-learning-based algorithm for dynamic magnetic
resonance imaging (MRI) reconstruction. Dynamic MRI requires rapid data acquisition for …

Purpose To develop a previously reported, electrocardiogram (ECG)‐gated, motion‐
resolved 5D compressed sensing whole‐heart sparse MRI methodology into an automated …

Myocardial infarction and stroke are the most prevalent global causes of death. Each year
15 million people worldwide die due to myocardial infarction or stroke. Rupture of a …

Fast magnetic resonance imaging (MRI) led to the emergence of 'cine MRI'techniques,
which enable the visualization of the beating heart and the assessment of cardiac …

For the clinical assessment of cardiac vitality, time-continuous tomographic imaging of the
heart is used. To further detect eg, pathological tissue, multiple imaging contrasts enable a …

Background Breath-hold (BH) requirement remains the limiting factor on the spatio-temporal
resolution and coverage of the cine balanced steady-state free precession (bSSFP) …

Purpose Depressed coronary endothelial function (CEF) is a marker for atherosclerotic
disease, an independent predictor of cardiovascular events, and can be quantified non …

Purpose To develop and evaluate an accelerated 3D self‐gated cardiac cine imaging
technique at 3 Tesla without the use of external electrocardiogram triggering or respiratory …

Purpose MRI has been used to noninvasively assess coronary endothelial function by
measuring the vasoreactivity in response to handgrip exercise. However, the spatial …

Background Type 1 diabetes mellitus (T1DM) in children and adolescents is associated with
significant cardiovascular morbidity and mortality. Early detection of vascular dysfunction is …