Xu Yajie, Zhang Junhao, Xia Siping, Qiu Jian, Qiu Jing, Yang Xiaodong, Gu Weiguo, Yu Yingcong
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, People's Republic of China.
Taiyuan University of Science and Technology, Taiyuan 030024, People's Republic of China.
J Neural Eng. 2022 Apr 21;19(2). doi: 10.1088/1741-2552/ac65b3.
. Iron core coils offer a passive way to increase the induced electric field intensity during transcranial magnetic stimulation (TMS), but the influences of core position and dimensions on coil performance have not been elaborately discussed before.In this study, with the basic figure-of-eight (Fo8) and slinky coil structures, iron core coil optimization is performed with the finite element method considering core position and dimensions. A performance factor combining performance parameters, including the maximum induced electric field, stimulation depth, focus, and heat loss, is utilized to evaluate the comprehensive coil performance.According to the performance factor, both iron core coils obtain the best overall performance with a fill factor 0.4 and the two legs of the iron core close to the inner sides of the coil. Finally, three prototypes are constructed-the basic, optimized, and full-size slinky iron core coil-and magnetic field detection demonstrates a good agreement with the simulation results.The proposed systematic optimization approach for iron core coil based on Fo8 and slinky basic structure can be applied to improve TMS coil performance, reduce power requirements, and guide the design of other iron core TMS coils.
铁芯线圈提供了一种在经颅磁刺激(TMS)过程中增加感应电场强度的被动方法,但铁芯位置和尺寸对线圈性能的影响此前尚未得到详尽讨论。在本研究中,采用基本的八字形(Fo8)和螺旋线圈结构,运用有限元方法,考虑铁芯位置和尺寸对铁芯线圈进行优化。利用一个结合了包括最大感应电场、刺激深度、聚焦度和热损耗等性能参数的性能因子来评估线圈的综合性能。根据该性能因子,两个铁芯线圈在填充因子为0.4且铁芯的两条腿靠近线圈内侧时均获得最佳整体性能。最后,构建了三个原型——基本型、优化型和全尺寸螺旋铁芯线圈——磁场检测结果与模拟结果吻合良好。所提出的基于Fo8和螺旋基本结构的铁芯线圈系统优化方法可用于改善TMS线圈性能、降低功率需求,并指导其他铁芯TMS线圈的设计。