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Image reconstruction algorithm for capacitively coupled electrical resistance tomography

机译：电容耦合电阻层析成像的图像重建算法

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摘要

Capacitively Coupled Electrical Resistance Tomography (CCERT), which is on the basis of Capacitively Coupled Contactless Conductivity Detection ((CD)-D-4), is a novel electrical tomography technique. As a developing technique, more research work should be undertaken. This work focuses on the study of image reconstruction algorithm of CCERT. Combining Tikhonov regularization principle and Simultaneous Iterative Reconstruction Technique (SIRT), a new hybrid image reconstruction algorithm is proposed. Tikhonov regularization is introduced to obtain the initial reconstructed image. SIRT is used to obtain the final reconstructed image. With a 12-electrode CCERT prototype, image reconstruction experiments are carried out. Experimental results show that the images reconstructed by the proposed image reconstruction algorithm are satisfactory and are in accord with the actual distributions of two-phase flows. The research work also indicates that the proposed image reconstruction algorithm is more suitable for image reconstruction of CCERT, comparing with the conventional image reconstruction algorithms of Electrical Capacitance Tomography (ECT) and Electrical Resistance Tomography (ERT). (C) 2014 Elsevier Ltd. All rights reserved.
机译：基于电容耦合非接触式电导率检测（（CD）-D-4）的电容耦合电阻层析成像（CCERT）是一种新颖的电层析成像技术。作为一种发展中的技术，应进行更多的研究工作。这项工作专注于CCERT图像重建算法的研究。结合Tikhonov正则化原理和同步迭代重构技术（SIRT），提出了一种新的混合图像重构算法。引入Tikhonov正则化以获得初始重建图像。 SIRT用于获取最终的重建图像。使用12电极CCERT原型，进行了图像重建实验。实验结果表明，所提出的图像重建算法重建的图像令人满意，并且与两相流的实际分布相吻合。研究工作还表明，与传统的电容层析成像（ECT）和电阻层析成像（ERT）图像重建算法相比，所提出的图像重建算法更适合CCERT图像重建。 （C）2014 Elsevier Ltd.保留所有权利。

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