A straightforward direct optimization method for designing biplanar gradient coils using artificial bee colony algorithm

Winding patterns of gradient coils are often designed using target-field (TF) methods. However, the TF methods need time-consuming parameter tuning and trial-and-error approach to obtain a desired performance. Moreover, the TF methods ignore the dimensions of winding wires and sometimes lead to unrealizable coils for construction. Here we proposed a simple and straightforward method for designing planar gradient coils with discrete windings, which does not require parameter tuning. In the proposed scheme, the coil geometric parameters were optimized by an artificial bee colony (ABC) algorithm. The use of ABC greatly accelerates the design speed, compared with other discrete-wire based methods, and can also provide coil performances comparable with the TF method. The proposed method was used to design gradient coils for a vertical wide-bore superconducting MRI system (4.74 T), and the validity of the method was experimentally confirmed.

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