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全脑皮层脑磁图传感器中的连续头部定位和数据校正。

Continuous head-localization and data correction in a whole-cortex MEG sensor.

作者信息

Wilson H S

机构信息

VSM MedTech Ltd., CTF Systems, Cquitlam, BC, Canada.

出版信息

Neurol Clin Neurophysiol. 2004 Nov 30;2004:56.

PMID:16012679
Abstract

Continuous monitoring of the position of a subject's head is an essential part of improving localization accuracy and resolution in MEG. We describe a procedure that has been developed for whole-cortex MEG sensors. The system uses three (or more) small head coils driven continuously by low-amplitude sinusoidal currents with frequencies chosen so they do not interfere with MEG measurements and with each other and are easily separated from power-line signals and harmonics. Analysis of the response of the MEG sensors to the head coils allows continuous monitoring of the position (update times as short as T=2/fpower) using a 3-parameter minimization. The best-fit positions of the head coils are then combined to determine the head translation and rotation. Analysis of phantom data recorded with a 275-channel CTF MEG system in a shielded room shows that coil positions can be determined with an accuracy of approximately 2 mm with an update period T=1/15 s even when the head coils are moving approximately 25 mm at speeds up to 40 mm/s. Data are corrected by expressing the scalar potential for the magnetic field as a spherical-harmonic series, and then determining the effect of rotations and translations on the terms of the series. Since the MEG helmet covers only approximately 60% of the full sphere, care must be taken in determining the coefficients of the spherical-harmonic series to ensure that the modeled magnetic field does not become unrealistically large in the region where there are no MEG sensors (i.e. in the lower 40% of the sphere). Our approach has been to use a minimum-field-energy criterion that minimizes the squared gradient averaged over 4pi sr and radii from 96 to 145 mm while matching the MEG measurements.

摘要

连续监测受试者头部的位置是提高脑磁图(MEG)定位精度和分辨率的重要组成部分。我们描述了一种为全脑皮层MEG传感器开发的程序。该系统使用三个(或更多)小的头部线圈,由低振幅正弦电流连续驱动,其频率经过选择,以确保它们不会干扰MEG测量,也不会相互干扰,并且很容易与电力线信号及谐波分离。对MEG传感器对头部线圈响应的分析允许使用三参数最小化方法连续监测位置(更新时间短至T = 2/fpower)。然后将头部线圈的最佳拟合位置组合起来以确定头部的平移和旋转。在屏蔽室内使用275通道CTF MEG系统记录的模拟数据的分析表明,即使头部线圈以高达40 mm/s的速度移动约25 mm,在更新周期T = 1/15 s时,线圈位置也能以约2 mm的精度确定。通过将磁场的标量势表示为球谐级数,然后确定旋转和平移对级数项的影响来校正数据。由于MEG头盔仅覆盖约60%的整个球体,因此在确定球谐级数的系数时必须小心,以确保在没有MEG传感器的区域(即球体的下40%)中建模的磁场不会变得不切实际地大。我们的方法是使用最小场能量准则,该准则在匹配MEG测量的同时,最小化在4π sr和半径从96到145 mm范围内平均的平方梯度。

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