基于混合优化算法的经颅磁刺激线圈阵列设计

Design of coil array for TMS based on hybrid optimization algorithm

为了研究对经颅磁刺激激励线圈聚焦性能的优化,利用混合优化算法与CST软件的外部通信接口,建立优化的激励线圈模型。依据多信道线圈阵列方法,利用磁场叠加原理,对影响磁场分布的线圈可调参数进行分析,结合混合优化算法对可调参数进行优化。结果对比显示,经优化的线圈阵列有良好的磁聚焦性,其刺激强度与聚焦程度都有了不同程度提高,可用于改善TMS系统聚焦性能,实验有助于进一步探索全面优化激励线圈的空间结构。

In order to study the transcranial magnetic stimulation optimization incentive focusing performance of coil, we used of external communication interface hybrid optimization algorithm with CST software, established an incentive coil model optimization. According to the multi channel coil array method, and the superposition principle of magnetic field, magnetic field distribution of the adjustable parameters were analyzed, combined with the adjustable parameter optimization based on hybrid optimization algorithm. The results showed that the optimized coil array had good magnetic focusing, its stimulus intensity and degree of focus was obviously improved to different extent, it can be used to improve the focusing performance of the TMS system. Our experiment can further help to explore the comprehensive optimization of spatial structure in excitation coil.