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http://dx.doi.org/10.5573/ieie.2017.54.4.83

Online Image Reconstruction Using Fast Iterative Gauss-Newton Method in Electrical Impedance Tomography  

Kim, Chang Il (Faculty of Lift Engineering, Korea Lift College)
Kim, Bong Seok (Faculty of Lift Engineering, Korea Lift College)
Kim, Kyung Youn (Department of Electronic Engineering, Jeju National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.54, no.4, 2017 , pp. 83-90 More about this Journal
Abstract
Electrical impedance tomography is a relatively new nondestructive imaging modality in which the internal conductivity distribution is reconstructed based on the injected currents and measured voltages through electrodes placed on the surface of a domain. In this paper, a fast iterative Gauss-Newton method is proposed to increase the spatial resolution as well as reduce the inverse computational time in the inverse problem, which could be applied to online binary mixture flow applications. To evaluate the reconstruction performance of the proposed method, numerical experiments have been carried out and the results are analyzed.
Keywords
Electrical impedance tomography; Gauss-Newton method; Tikhonov regularization; image reconstruction;
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Times Cited By KSCI : 1  (Citation Analysis)
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