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Optimization of Measurement Arrangements for Magnetic Detection Electrical Impedance Tomography

机译:磁检测电阻层析成像测量装置的优化

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Magnetic detection electrical impedance tomography (MDEIT) is an imaging modality that aims to compute the cross-sectional distribution of the conductivity inside a volume. The current is injected into the volume by the surface electrodes and the resulting magnetic fields surrounding the object are detected by coils. The image resolution and contrast in MDEIT image reconstruction are affected by the parameters such as the numbers and locations of electrodes and measurements, and the finite-element mesh resolution. This paper addresses the numerical experiment applied to the singular value analysis (SVA) of the sensitivity matrix in the presence of noisy measurements, subsequently suggesting the optimal electrode and detector configurations for the whole imaging object region. For the region of interest (RoI), the combined SVA and redundancy reduction is used to obtain the optimum measurement arrangement. Finally, the optimum design is confirmed by examining the image reconstructions of the simulated data acquired with different measurement arrangements. The results indicate that properly increasing the number of current injections and the number of measurement circles, and locating preferentially the electrodes and detectors on the region nearest to the RoI produce more useful singular values and better reconstructed images. These results provide guidelines for the design of the MDEIT experimental system.
机译:磁检测电阻抗断层扫描(MDEIT)是一种成像模式,旨在计算体积内电导率的横截面分布。通过表面电极将电流注入到该体积中,并通过线圈检测物体周围产生的磁场。 MDEIT图像重建中的图像分辨率和对比度受电极数量和位置以及测量值以及有限元网格分辨率等参数的影响。本文讨论了在存在噪声测量的情况下应用于灵敏度矩阵的奇异值分析(SVA)的数值实验,随后提出了整个成像对象区域的最佳电极和检测器配置。对于关注区域(RoI),结合使用SVA和冗余减少功能可获得最佳的测量布置。最后,通过检查使用不同测量装置获取的模拟数据的图像重建,可以确定最佳设计。结果表明,适当增加电流注入的数量和测量圈的数量,并优先在最靠近RoI的区域上放置电极和检测器会产生更有用的奇异值和更好的重建图像。这些结果为MDEIT实验系统的设计提供了指导。

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