Evaluation of effect of number of electrodes in ERT sensors on image quality

2013 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2013-10-01 DOI:10.1109/IST.2013.6729655

Jiamin Ye, Haigang Wang, Wuqiang Yang

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引用次数: 13

Abstract

It is assumed that the spatial resolution of the reconstructed images with an electrical resistance tomography (ERT) system can be improved by increasing the number of measurement electrodes. In this paper, the issues with the number of electrodes will be discussed. To analyze the effect of the number of electrodes on the quality of reconstructed images, ERT sensors with different number of electrodes-8, 12, 16, 20, 24, 32, 36, 40 and 48-are investigated. With the adjacent and opposite strategies, the voltages between different electrode pairs are calculated for some typical conductivity distributions with different contrast in conductivity using a finite element method. The obtained voltage data are then used to reconstruct images using the projected Landweber iteration algorithm. In the meanwhile, the impact of meshes in the inverse problem solver on image quality is also discussed. The sensitivity distributions for all cases are analyzed utilizing singular value decomposition (SVD). The analytical results are in agreement with the simulation results.

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ERT传感器中电极数对图像质量影响的评价

假设电阻层析成像(ERT)系统重建图像的空间分辨率可以通过增加测量电极的数量来提高。在本文中，将讨论电极数量的问题。为了分析电极数对重建图像质量的影响，研究了不同电极数(8、12、16、20、24、32、36、40和48)的ERT传感器。采用相邻和相反策略，用有限元法计算了具有不同电导率对比的典型电导率分布的不同电极对之间的电压。然后使用投影Landweber迭代算法将获得的电压数据用于重建图像。同时，还讨论了反问题求解器中网格对图像质量的影响。利用奇异值分解(SVD)分析了所有情况下的灵敏度分布。分析结果与仿真结果吻合较好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 IEEE International Conference on Imaging Systems and Techniques (IST)

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