Automatic alignment of EEG/MEG and MRI data sets
Automatic alignment of EEG/MEG and MRI data sets
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DOI：
10.1016/s1388-2457(01)00556-9
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发表时间：
2001-08-01
影响因子：
4.7
通讯作者：
Nowinski, K
中科院分区：
文献类型：
--
作者：
Kozinska, D;Carducci, F;Nowinski, K
目的：我们开发了一种新的技术，全自动对齐的大脑数据采集与头皮传感器（如脑电图/诱发电位（EP）电极，脑磁图传感器）与磁共振成像（MRI）体积的head.Methods：该方法使用几何特征（两套头部点：数字化的主题和提取的MRI），以指导对齐。它结合了执行初始对准的3维（3D）几何矩上的匹配和提供最终调谐的3D基于距离的对准。为了减少数字化引起的初始猜测计算的误差。的头部表面点，我们引入了权重来计算几何矩，和一个程序，以消除异常值，以消除不正确的数字化points.Results：该方法进行了测试模拟（Monte Carlo试验）和真实的数据集。模拟结果表明，当测试点的数量在头表面点总数的0.1-1%范围内，数字化误差在-2-2 mm范围内时，平均地图误差在0.7 - 2.1 mm之间，平均距离误差小于1 mm。对真实的数据的测试给出的平均距离误差在2.1 - 2.5 mm之间。所开发的技术对于患者和医务人员来说是快速、稳健和舒适的。它将头皮传感器位置与MRI头部体积配准，其精度对于用常用数量的头皮传感器（32、64或128）检查的生物过程的定位是满意的。(C)2001爱思唯尔科学爱尔兰有限公司保留所有权利。
Objectives: We developed a new technique of fully automatic alignment of brain data acquired with scalp sensors (e.g. electroencephalography/evoked potential (EP) electrodes, magnetoencephalography sensors) with a magnetic resonance imaging (MRI) volume of the head.Methods: The method uses geometrical features (two sets of head points: digitized from the subject and extracted from MRI) to guide the alignment. It combines matching on 3 dimensional (3D) geometrical moments that perform the initial alignment, and 3D distance-based alignment that provides the final tuning. To reduce errors of the initial guessed computation resulting from digitization. of the head surface points we introduced weights to compute geometrical moments, and a procedure to remove outliers to eliminate incorrectly digitized points.Results: The method was tested on simulated (Monte Carlo trials) and on real data sets. The simulations demonstrated that for the number of test points within the range of 0.1-1% of the total number of head surface points and for the digitization error in the range of -2-2 mm the average map error was between 0.7 and 2.1 mm. The average distance error was less than I mm. Tests on real data gave the average distance error between 2.1 and 2.5 mm.Conclusions: The developed technique is fast, robust and comfortable for the patient and for medical personnel. It registers scalp sensor positions with MRI head volume with accuracy that is satisfactory for localization of biological processes examined with a commonly used number of scalp sensors (32, 64, or 128). (C) 2001 Elsevier Science Ireland Ltd. All rights reserved.