MRI reconstruction stops learning from clinical raw data: SIM trains on physics simulation and transfers zero-shot across 14 datasets
SIM replaces clinical raw k-space with training samples generated from multi-coil MRI physics, then scales data and model capacity together in a generic Transformer. Across 14 public and in-house datasets spanning seven centers, five vendors, 0.3 to 7 T and more than ten protocols, its zero-shot reconstruction beats the second-best method by 1.06 to 3.95 dB PSNR; in a 150-scan blinded reader study, SIM reached 100% diagnostic usability at an acceleration factor the source does not state.