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Abstract #4227

Machine designing: a multi-coil local shim design using Bayesian optimization

Chungseok Oh1, Eunjung Choi1, Woojin Jung1, Heong-geol Shin1, and Jongho Lee1
1Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea

A multi-coil local shim has shown good performance on reducing B0 field inhomogeneity. However, the multi-coil local shim can be expensive due to a large number of channels. In this study, we developed a machine designing approach which uses the Bayesian optimization algorithm to determine the optimum locations of the multiple coils. In results, the machine-designed 28 channel coil local shim shows comparable performance to a hand-designed 48 channel coil local shim.

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