脑磁源定位重建算法研究进展

doi:10.3969/j.issn.0258-8021.2024.04.011

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Abstract As a non-invasive functional neuroimaging method of human brain, magnetoencephalography has been widely concerned in clinical applications due to its high temporal resolution and non-invasive characteristics. The inverse problem of inferring the distribution of current sources in the brain from the data of scalp magnetic field is the central problem in the research of brain magnetic source localization. The difficulty lies in the uniqueness and ill-posed feature of the inverse problem. The reconstruction methods are divided into two categories: distributed source model and dipole localization. Therefore, this article systematically discussed the development of magnetoencephalography and magnetic source imaging. The distributed source model includes minimum norm estimation, low resolution brain electromagnetic tomography, focal underdetermined system solution, Bayesian estimation, beamformer and sparse source imaging. Dipole localization includes maximum entropy method, least-squares minimum norm, multiple-signal classification algorithm, neural network and genetic algorithm. Existing problems and development trends were analyzed, highlighting that multimodal reconstruction methods that integrate multiple brain function technologies are expected to become the most important detection technology for neural function diagnosis.

Key words： magnetoencephalography magnetic source localization reconstruction inverse problem distributed source model dipole localization

Received: 09 February 2023

PACS:

R318

Corresponding Authors: ^*E-mail: yao6636329@hotmail.com

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	Articles by authors
	Yang Yanling
	Yao Xufeng
	Luo Shichang
	Shi Cheng
	Gao Xiumin
	Wu Tao

Cite this article:

Yang Yanling,Yao Xufeng,Luo Shichang, et al. Research Progress in Brain Magnetic Source Localization Reconstruction Algorithm[J]. Chinese Journal of Biomedical Engineering, 2024, 43(4): 489-498.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2024.04.011 OR http://cjbme.csbme.org/EN/Y2024/V43/I4/489

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