Synopsis

This talk will describe recent developments in real-time cardiac MR (CMR) and predict some trends that will incorporated into real-time CMR in the future. This talk describes new acquisition methods relevant to real-time CMR, the role of machine learning, computational methods for low-latency image reconstruction, and the potential of real-time CMR at lower field strengths. Real-time CMR for diagnostic imaging, monitoring of physiological provocations and MRI-guided interventions are considered.