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最小范数最小二乘估计:球形模型头部的磁源图像

Minimum-norm least-squares estimation: magnetic source images for a spherical model head.

作者信息

Wang J Z

机构信息

Department of Physics, New York University, NY 10003.

出版信息

IEEE Trans Biomed Eng. 1993 Apr;40(4):387-96. doi: 10.1109/10.222331.

DOI:10.1109/10.222331
PMID:8375875
Abstract

This paper extends the minimum-norm least-squares inverse approach to a local spherical model for the conductivity geometry of the human head. In simulations of cortical activity of the human brain, the magnetic field pattern across the scalp is interpreted with prior knowledge of anatomy, and the properties of intraneuronal current flow to yield a unique magnetic source image across a portion of cerebral cortex. Influences on the quality of magnetic source images from the noise in measurements, the position error in determining the image surface, and the number of sensors are evaluated in detail.

摘要

本文将最小范数最小二乘逆方法扩展到用于人类头部电导率几何结构的局部球面模型。在对人类大脑皮层活动的模拟中,利用解剖学的先验知识以及神经元内电流流动的特性来解释头皮上的磁场模式,从而在部分大脑皮层上生成唯一的磁源图像。详细评估了测量噪声、确定图像表面时的位置误差以及传感器数量对磁源图像质量的影响。

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Magnetic source imaging based on the minimum-norm least-squares inverse.基于最小范数最小二乘逆的磁源成像。
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Kinetic images of neuronal activity of the human brain based on the spatio-temporal MNLS inverse: a theoretical study.
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An optimal constrained linear inverse method for magnetic source imaging.一种用于磁源成像的最优约束线性反演方法。
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