Active EMI Elimination at 3T using Routine Receiver Coils and Deep Learning

Motivation: To reduce siting costs, improve accessibility and relax electromagnetic compatibility (EMC) requirements on in-room equipment in 3T MRI. Goal(s): To assess a deep-learning based active electromagnetic interference (EMI) elimination algorithm Deep-DSP at 3T. Approach: Deep-DSP approach previously implemented for 0.055T MRI was applied to 3D imaging at 3 Tesla, performed within the standard shielded room and with deliberately added EMI sources using a 64-channel head coil and four coil arrays located outside the magnet bore for EMI sensing. Results: Deep-DSP demonstrates excellent performance in phantoms and outperforms a comparison technique in vivo. Impact: The proposed approach does not require additional dedicated hardware and has potential of substantially reducing siting costs of modern high-performance MR imagers. Furthermore, EMC and RF shielding requirements on the additional equipment in the scanner room may be largely relaxed.