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一种用于人脑模型成像的多通道磁感应断层扫描测量系统。

A multi-channel magnetic induction tomography measurement system for human brain model imaging.

作者信息

Xu Zheng, Luo Haijun, He Wei, He Chuanhong, Song Xiaodong, Zahng Zhanglong

机构信息

State Key Laboratory of Power Transmission Equipment & System Security and New Technology, The Electrical Engineering College, Chongqing University, Chongqing 400044, People's Republic of China.

出版信息

Physiol Meas. 2009 Jun;30(6):S175-86. doi: 10.1088/0967-3334/30/6/S12. Epub 2009 Jun 2.

Abstract

This paper proposes a multi-channel magnetic induction tomography measurement system for biological conductivity imaging in a human brain model. A hemispherical glass bowl filled with a salt solution is used as the human brain model; meanwhile, agar blocks of different conductivity are placed in the solution to simulate the intracerebral hemorrhage. The excitation and detection coils are fixed co-axially, and the axial gradiometer is used as the detection coil in order to cancel the primary field. On the outer surface of the glass bowl, 15 sensor units are arrayed in two circles as measurement parts, and a single sensor unit for cancelling the phase drift is placed beside the glass bowl. The phase sensitivity of our system is 0.204 degrees /S m(-1) with the excitation frequency of 120 kHz and the phase noise is in the range of -0.03 degrees to +0.05 degrees . Only the coaxial detection coil is available for each excitation coil; therefore, 15 phase data are collected in each measurement turn. Finally, the two-dimensional images of conductivity distribution are obtained using an interpolation algorithm. The frequency-varying experiment indicates that the imaging quality becomes better as the excitation frequency is increased.

摘要

本文提出了一种用于人脑模型生物电导率成像的多通道磁感应断层成像测量系统。用一个装满盐溶液的半球形玻璃碗作为人脑模型;同时,将不同电导率的琼脂块放入溶液中以模拟脑出血。激励线圈和检测线圈同轴固定,采用轴向梯度仪作为检测线圈以消除一次场。在玻璃碗外表面,15个传感器单元排成两个圆圈作为测量部件,在玻璃碗旁边放置一个用于消除相位漂移的单个传感器单元。在激励频率为120kHz时,我们系统的相位灵敏度为0.204度/S m(-1),相位噪声在-0.03度至+0.05度范围内。每个激励线圈仅使用同轴检测线圈;因此,每次测量轮次采集15个相位数据。最后,使用插值算法获得电导率分布的二维图像。频率变化实验表明,随着激励频率的增加,成像质量会变好。

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