Sekihara K, Scholz B
Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan.
IEEE Trans Biomed Eng. 1996 Mar;43(3):281-91. doi: 10.1109/10.486285.
This paper proposes a method for estimating three-dimensional (3-D) biocurrent distribution from spatio-temporal biomagnetic data. This method is based on the principle of generalized Wiener estimation, and it is formulated based on the assumption that current sources are uncorrelated. Computer simulation demonstrates that the proposed method can reconstruct a 3-D current distribution where the conventional least-squares minimum-norm method fails. The influence of noise is also simulated, and the results indicate that a signal-to-noise ratio of more than 20 for the uncorrelated sensor noise is needed to implement the proposed method. The calculated point spread function shows that the proposed method has very high spatial resolution compared to the conventional minimum norm method. The results of computer simulation of the distributed current sources are also presented, including cases where current sources are correlated. These results suggest that no serious errors arise if the source correlation is weak.
本文提出了一种从时空生物磁数据估计三维（3-D）生物电流分布的方法。该方法基于广义维纳估计原理，并在电流源不相关的假设下制定。计算机模拟表明，所提出的方法能够重建传统最小二乘最小范数方法无法重建的三维电流分布。还模拟了噪声的影响，结果表明，对于不相关的传感器噪声，需要信噪比大于20才能实施所提出的方法。计算得到的点扩散函数表明，与传统最小范数方法相比，所提出的方法具有非常高的空间分辨率。还给出了分布式电流源的计算机模拟结果，包括电流源相关的情况。这些结果表明，如果源相关性较弱，则不会出现严重误差。
