Research Progress in Brain Magnetic Source Localization Reconstruction Algorithm
Yang Yanling1,2, Yao Xufeng2*, Luo Shichang1,2, Shi Cheng1,2, Gao Xiumin3, Wu Tao2
1(School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China) 2(College of Medical Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China) 3(School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China)
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.
羊艳玲, 姚旭峰, 罗世昌, 时承, 高秀敏, 吴韬. 脑磁源定位重建算法研究进展[J]. 中国生物医学工程学报, 2024, 43(4): 489-498.
Yang Yanling, Yao Xufeng, Luo Shichang, Shi Cheng, Gao Xiumin, Wu Tao. Research Progress in Brain Magnetic Source Localization Reconstruction Algorithm. Chinese Journal of Biomedical Engineering, 2024, 43(4): 489-498.
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