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Abstract #4433

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

Maxim Zaitsev1, Yujiao Zhao2,3, Ali Caglar Özen1, Zining Liu1, Reza Aghabagheri1, and Ed X Wu2
1Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany, 2Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, China, 3Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China

Synopsis

Keywords: Artifacts, RF Arrays & Systems, electromagnetic interference suppression, EMI

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.

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Keywords