Abstract：Transcranial magnetic stimulation is a non-invasive stimulation technique widely used in the diagnosis and treatment of neurological and psychiatric diseases. Image-guided transcranial magnetic stimulation navigation can ensure the accurate positioning of the stimulation coil. However, some clinical contraindications make it difficult to obtain individual medical images of some patients, leading to the failure of image guidance. To solve this problem, this paper proposed to construct individualized images to replace individual images for navigation. First, we used positioning devices to acquire the patient's scalp contour points; and reconstructed the scalp surface based on Poisson reconstruction algorithm; then combined the automatic control points positioning method to locate control points; finally used the thin plate spline interpolation algorithm to construct individualized model. We tested the accuracy of the scalp, brain surface and brain targets of the individualized models. The results showed that the scalp accuracy reached (2.8±0.5) mm, and the brain surface accuracy reached (3.1±0.6) mm. The accuracy of the hand motor cortex target reached (9.2±4.1) mm, which met the needs of multi-target localization in the diagnosis of neurological diseases by transcranial magnetic stimulation navigation. The accuracy of the dorsolateral prefrontal lobe target reached (8.9±5.1) mm, which is better than the commonly used clinical alternative target (EEG electrode F3) whose accuracy is (16.1±5.0) mm. In conclusion, the accuracy can meet the need of repeated target localization in transcranial magnetic stimulation navigation for the treatment of mental diseases.
张芸, 丁辉, 王广志. 经颅磁刺激导航个性化模型构建方法[J]. 中国生物医学工程学报, 2022, 41(1): 1-9.
Zhang Yun, Ding Hui, Wang Guangzhi. Individualized Model Construction Method for Transcranial Magnetic Stimulation Navigation. Chinese Journal of Biomedical Engineering, 2022, 41(1): 1-9.
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