Improved surface Laplacian estimates of cortical potential using realistic models of head geometry.
Improved surface Laplacian estimates of cortical potential using realistic models of head geometry.
复制标题
使用头部几何的真实模型改进了皮质电位的表面拉普拉斯估计。
DOI：
10.1109/tbme.2012.2183638
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Srinivasan,Ramesh
中科院分区：
文献类型：
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作者：
Deng,Siyi;Winter,William;Thorpe,Samuel;Srinivasan,Ramesh
头皮脑电的表面拉普拉斯算子可以用来估计皮层表面上的电位分布，作为一种替代侵入性方法。然而，表面拉普拉斯估计的准确性关键取决于头部模型的几何形状。本文提出了一种新的方法来计算表面拉普拉斯的头皮电位直接在现实的头皮表面上的三角形网格的形式重建从MRI扫描。与以前的方法不同，该算法不诉诸于任何表面拟合代理，并可以提高表面拉普拉斯估计皮层电位模式高达34%的真实形状的头部模型。仿真和实验数据表明，所提出的方法比传统的球面近似和实用程序的更准确的表面拉普拉斯方法估计皮层电位从头皮电极的优势。
Surface Laplacian of scalp EEG can be used to estimate the potential distribution on the cortical surface as an alternative to invasive approaches. However, the accuracy of surface Laplacian estimation depends critically on the geometric shape of the head model. This paper presents a new method for computing the surface Laplacian of scalp potential directly on realistic scalp surfaces in the form of a triangular mesh reconstructed from MRI scans. Unlike previous methods, this algorithm does not resort to any surface fitting proxy and can improve the surface Laplacian estimation of cortical potential patterns by as much as 34% on realistically shaped head models. Simulations and experimental data are presented to demonstrate the advantage of the proposed method over the conventional spherical approximation and the utility of a more accurate surface Laplacian method for estimating cortical potentials from scalp electrodes.