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http://dx.doi.org/10.7471/ikeee.2015.19.2.219

Conductivity Image Reconstruction Using Modified Gauss-Newton Method in Electrical Impedance Tomography  

Kim, Bong Seok (BK21+ Clean Energy Convergence and Integration Center for Human Resources Training and Education, Jeju National University)
Park, Hyung Jun (Dept. of Materials & Energy Engineering College of IT & Energy, KyungWoon University)
Kim, Kyung Youn (Dept. of Electronic Engineering, Jeju National University)
Publication Information
Journal of IKEEE / v.19, no.2, 2015 , pp. 219-224 More about this Journal
Abstract
Electrical impedance tomography is an imaging technique to reconstruct the internal conductivity distribution based on applied currents and measured voltages in a domain of interest. In this paper, a modified Gauss-Newton method is proposed for conductivity image reconstruction. In the proposed method, the dimension of the inverse term is reduced by replacing the number of elements with the number of measurement data in the conductivity updating equation of the conventional Gauss-Newton method. Therefore, the computation time is greatly reduced as compared to the conventional Gauss-Newton method. Moreover, the regularization parameter is selected by computing the minimum-maximum from the diagonal components of the Jacobian matrix at every iteration. The numerical experiments with several scenarios were carried out to evaluate the reconstruction performance of the proposed method.
Keywords
electrical impedance tomography; regularization parameter; Gauss-Newton method; conductivity estimation; image reconstruction;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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