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http://dx.doi.org/10.5573/ieie.2017.54.4.91

Development of Inverse Solver based on TSVD in Electrical Impedance Tomography  

Kim, Bong Seok (Faculty of Lift Engineering, Korea Lift College)
Kim, Chang Il (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. 91-98 More about this Journal
Abstract
Electrical impedance tomography is a nondestructive imaging technique to reconstruct unknown conductivity distribution based on applied current data and measured voltage data through an array of electrodes attached on the periphery of a domain. In this paper, an inverse method based on truncated singular value decomposition is proposed to solve the inverse problem with the generalized Tikhonov regularization and to reconstruct the conductivity distribution. In order to reduce the inverse computational time, truncated singular value decomposition is applied to the inverse term after the generalized regularization matrix is taken out from the inverse matrix term. Numerical experiments and phantom experiments have been performed to verify the performance of the proposed method.
Keywords
Electrical impedance tomography; truncated SVD; Tikhonov regularization; conductivity reconstruction;
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