Abstract #4977

Correcting motion-induced B0 shim failure at 3T CMR using a deep-learning-enabled 3D motion-resolved B0 shimming

Xinqi Li¹, Yuheng Huang², Xingmin Guan², Xinheng Zhang², Ghazal Yoosefian², Xiaoming Bi³, Fei Han³, HsuLei Lee¹, Anthony Christodoulou¹, Debiao Li¹, Rohan Dharmakumar², Hui Han¹, and Hsin-Jung Yang¹

¹Biomedical Image Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ²Krannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, IN, United States, ³Siemens Healthineers, Malvern, PA, United States

Synopsis

Keywords: Myocardium, ShimsB₀ inhomogeneity is a long-lasting issue for CMR in high-field (3T and above) scanners. B₀ shimming is a standard way to improve the B₀ field. However, motion-induced field inhomogeneity is an unknown factor in routine practice and compromises cardiac B₀ shimming quality. Here, we proposed a motion-resolved cardiac B₀ shimming strategy by acquiring motion-resolved cardiac B₀ field maps and adopting a modified U-net model for precise and automatic shim field derivation. We showed that dynamic shimming could improve field homogeneity through the respiratory cycle and provide a reliable B₀ field for free-breathing CMR at 3T.

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