机构：[a]School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China[b]Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China[c]Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing 100191, China[d]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China神经内科[e]Beijing Key Laboratory of Brain Functional Disease and Neuromodulation, Beijing 100053, China
Source imaging with magnetoencephalography (MEG) provides good spatial accuracy for shallow sources and has been successfully applied for the study of brain cognition and the diagnosis of brain diseases. Yet, its utility for locating deep sources is unclear and remains a technical challenge. In this study, we proposed a new source imaging method for the assessment of brain activity in deep locations. A MEG sensor array with 306 channels was represented as a low-rank matrix plus sparse noise. The low-rank matrix was then used to estimate the source model with minimum variance beamforming. Simulations of a realistic head model indicated that the proposed method was effective. Our method was further verified in 10 patients with temporal lobe epilepsy, wherein the imaging results were consistent with clinical findings. (C) 2018 Published by Elsevier Ltd.
第一作者机构：[a]School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China[b]Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China[c]Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing 100191, China
通讯作者：
通讯机构：[a]School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China[b]Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China[c]Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing 100191, China
推荐引用方式(GB/T 7714)：
Yegang Hu,Yuping Wang,Jicong Zhang.Low-rank matrix recovery for source imaging with magnetoencephalography[J].OPTICS AND LASER TECHNOLOGY.2019,110:99-104.doi:10.1016/j.optlastec.2018.05.049.
APA：
Yegang Hu,Yuping Wang&Jicong Zhang.(2019).Low-rank matrix recovery for source imaging with magnetoencephalography.OPTICS AND LASER TECHNOLOGY,110,
MLA：
Yegang Hu,et al."Low-rank matrix recovery for source imaging with magnetoencephalography".OPTICS AND LASER TECHNOLOGY 110.(2019):99-104
物理与天体物理