LAUSR

Cardiac MRI represents the gold standard to determine myocardial function. However, the current clinical standard protocol, a segmented Cartesian acquisition, is time‐consuming and can lead to compromised image quality in the case of arrhythmia or dyspnea. In this article, a machine learning–based reconstruction of undersampled spiral k‐space data is presented to enable free breathing real‐time cardiac MRI with good image quality and short reconstruction times.