MAGNETIC SOURCE IMAGES DETERMINED BY A LEAD-FIELD ANALYSIS - THE UNIQUE MINIMUM-NORM LEAST-SQUARES ESTIMATION
MAGNETIC SOURCE IMAGES DETERMINED BY A LEAD-FIELD ANALYSIS - THE UNIQUE MINIMUM-NORM LEAST-SQUARES ESTIMATION
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DOI：
10.1109/10.142641
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发表时间：
1992-07-01
影响因子：
4.6
通讯作者：
KAUFMAN, L
中科院分区：
文献类型：
--
作者：
WANG, JZ;WILLIAMSON, SJ;KAUFMAN, L
基于引线场理论的最小范数最小二乘方法为磁源图像提供了一个唯一的逆解，这是最小二乘意义上的最佳估计。当一次电流被限制在一个或一组表面时，这已被应用于确定源电流分布。在人脑皮层活动的模型模拟中，通过解剖学的先验知识来解释横跨头皮的磁场模式，从而产生横跨部分大脑皮层的独特磁源图像，而无需诉诸明确的源模型。
The minimum norm least-squares approach based on lead field theory provides a unique inverse solution for a magnetic source image that is the best estimate in the least-squares sense. This has been applied to determine the source current distribution when the primary current is confined to a surface or set of surfaces. In model simulations of cortical activity of the human brain, the magnetic field pattern across the scalp is interpreted with prior knowledge of anatomy to yield a unique magnetic source image across a portion of cerebral cortex, without resort to an explicit source model.