Research progress in fast algorithm techniques for transcranial magnetic stimulation electric field
10.3760/cma.j.cn121382-20241114-00105
- VernacularTitle:经颅磁刺激电场快速算法技术的研究进展
- Author:
Zhi LI
1
;
Zhipeng LIU
;
He WANG
;
Tao YIN
Author Information
1. 中国医学科学院 北京协和医学院生物医学工程研究所，天津 300192
- Keywords:
Transcranial magnetic stimulation;
Electric field modeling;
Basis function method;
Deep neural network;
Fast algorithm
- From:
International Journal of Biomedical Engineering
2025;48(1):28-32
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, a variety of innovative fast algorithm techniques have emerged in the field of transcranial magnetic stimulation (TMS) electric field solving, which show great potential to meet the requirements of real-time clinical applications. In this review, the crucial processes of TMS electric field modeling were summarized, focusing on two prominent fast algorithm techniques, namely the basis function method and the deep neural network (DNN)-based method. The advantages and limitations of these two techniques were analyzed in detail. Commonly used software tools for electric field modeling were discussed, and a prospective discussion of future developments was offered, aiming to provide a reference for the further development of TMS electric field modeling technology.
