经颅磁刺激导航个性化模型构建方法

doi:10.3969/j.issn.0258-8021.2022.01.001

Abstract
Figure/Table
References
Related Citation (10)

Download: PDF (6785 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

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.

Key words： transcranial magnetic navigation image guided navigation individualized template image stereotactic multi-target localization

Received: 20 May 2021

PACS:

R318

Corresponding Authors: ^* E-mail: wgz-dea@mail.tsinghua.edu.cn

About author:: ^#Member, Chinese Society of Biomedical Engineering

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zhang Yun
	Ding Hui
	Wang Guangzhi

Cite this article:

Zhang Yun,Ding Hui,Wang Guangzhi. Individualized Model Construction Method for Transcranial Magnetic Stimulation Navigation[J]. Chinese Journal of Biomedical Engineering, 2022, 41(1): 1-9.

URL:

http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2022.01.001 OR http://cjbme.csbme.org/EN/Y2022/V41/I1/1

[1] Barker AT, Jalinous R, Freeston IL. Non-invasive magnetic stimulation of human motor cortex[J]. The Lancet, 1985, 325(8437): 1106-1107.
[2] Schönfeldt-Lecuona C, Thielscher A, Freudenmann RW, et al. Accuracy of stereotaxic positioning of transcranial magnetic stimulation[J]. Brain Topography, 2005, 17(4): 253-259.
[3] Lefaucheur JP, Aleman A, Baeken C, et al. Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): an update (2014-2018) [J]. Clinical Neurophysiology, 2020, 131(2): 474-528.
[4] Noirhomme Q, Ferrant M, Vandermeeren Y, et al. Registration and real-time visualization of transcranial magnetic stimulation with 3-D MR images[J]. IEEE Transactions on Biomedical Engineering, 2004, 51(11): 1994-2005.
[5] Darvas F, Ermer JJ, Mosher JC, et al. Generic head models for atlas-based EEG source analysis[J]. Human Brain Mapping, 2006, 27(2): 129-143.
[6] Carducci F, Brusco R. Accuracy of an individualized MR-based head model for navigated brain stimulation[J]. Psychiatry Research: Neuroimaging, 2012, 203(1): 105-108.
[7] Fleischmann R, Köhn A, Tränkner S, et al. Individualized template MRI is a valid and reliable alternative to individual MRI for spatial tracking in navigated TMS studies in healthy subjects[J]. Frontiers in Human Neuroscience, 2020, 14: 174.
[8] Kazhdan M, Bolitho M, Hoppe H. Poisson surface reconstruction[C]// Proceedings of the 4th Eurographics Symposium on Geometry Processing. Cagliari:EACG, 2006:61-70.
[9] Oostenveld R, Praamstra P. The five percent electrode system for high-resolution EEG and ERP measurements [J]. Clinical Neurophysiology, 2001, 112(4): 713-719.
[10] Bookstein FL. Landmark methods for forms without landmarks: morphometrics of group differences in outline shape[J]. Medical Image Analysis, 1997, 1(3): 225-243.
[11] Deng ZD, Lisanby SH, Peterchev AV. Electric field depth–focality tradeoff in transcranial magnetic stimulation: Simulation comparison of 50 coil designs[J]. Brain Stimulation, 2013, 6(1): 1-13.
[12] Mcconnell KA, Nahas Z, Shastri A, et al. The transcranial magnetic stimulation motor threshold depends on the distance from coil to underlying cortex: a replication in healthy adults comparing two methods of assessing the distance to cortex[J]. Biological Psychiatry, 2001, 49(5): 454-459.
[13] Pieper S, Halle M, Kikinis R. 3D slicer[C]//2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro. Arlingto: IEEE, 2004: 632-635.
[14] Yousry TA, Schmid U, Alkadhi H, et al. Localization of the motor hand area to a knob on the precentral gyrus. A new landmark [J]. Brain: A Journal of Neurology, 1997, 120(1): 141-157.
[15] Fitzgerald P B, Maller J J, Hoy K E, et al. Exploring the optimal site for the localization of dorsolateral prefrontal cortex in brain stimulation experiments[J]. Brain Stimulation, 2009, 2(4): 234-237.
[16] Fischl B. FreeSurfer[J]. Neuroimage, 2012, 62(2): 774-781.
[17] Holmes CJ, Hoge R, Collins L, et al. Enhancement of MR images using registration for signal averaging[J]. Journal of Computer Assisted Tomography, 1998, 22(2): 324-333.
[18] Tang Y, Hojatkashani C, Dinov ID, et al. The construction of a Chinese MRI brain atlas: a morphometric comparison study between Chinese and Caucasian cohorts[J]. Neuroimage, 2010, 51(1): 33-41.