清华大学电机系生物医学工程研究所,北京,100084
纸质出版:2000
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刘 凡, 高上凯, 高小榕. 基准点法和表面匹配法加权结合的MRI图像和EEG电极的配准[J]. 电子学报, 2000,28(12):19-21.
LIU Fan, GAO Shang-kai, GAO Xiao-rong. MRI and EEG Electrode Registration by Weighted Combination of Points and Surface Matching[J]. Acta Electronica Sinica, 2000, 28(12): 19-21.
融合EEG和MRI是同时获得高时间分辨率和高空间分辨率的脑功能成像的有效方法.在融合中必需解决电极与MRI图像的配准.有两种常见的配准方法:基准点法和表面匹配法.基准点法的主要缺陷是易受基准点的定位和测量误差的干扰
而表面匹配法的主要缺陷是需要另一套高精度的测量仪对头皮表面进行扫描.本文研究了一种加权结合基准点法和表面匹配法的方法
它不需要对头皮表面作扫描
而是利用生理基准点和电极位置进行配准.仿真结果证明了方法的有效性
且采用生理基准点和电极同时配准的新方法的效果优于用单纯基准点配准或用电极作表面匹配两种方法.
Registration of EEG to MRI is an effective way to obtain both high spatial and high temporal resolutions in functional brain imaging.There are two common methods in the registration:fiducial points based matching and surface based matching.The matching based on fiducial points has the difficulties in locating and measuring of fiducial points accurately.Meanwhile
in surface matching
the scalp must be scanned by a high spatial resolution equipment.The aim of this study is to investigate a weighted combination method using electrodes and fiducial points.Simulation results show the effectiveness of the new method.Also
the new weighted combination method has better registration accuracy than that of fiducial points or surface matching using electrodes respectively.
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