Virtual coil concept with multi-scale low-rank for real-time cardiac MR at 0.55T

Real-time MR applications are often highly undersampled due to the high temporal resolution required. Here, we propose a novel linear forward model combining virtual coils and multi-scale low-rank to enable highly accelerated real-time cardiac MR. The virtual coil concept leverages Hermitian symmetry, whereas multi-scale low-rank attempts to model real-time motion as a combination of subspaces across multiple image scales. Experiments in five healthy subjects demonstrate a considerable improvement in image quality over conventional iterative SENSE, enabling real-time cardiac imaging at 0.55T.