Abstract
Electrical Impedance Tomography (EIT) is an imaging method to determine resistivity distribution inside an object by injecting current and measuring boundary voltages on the electrodes. Despite being portable and non-invasive, the reconstruction image of EIT depends on the inverse problem of reconstruction. For this reason, this paper compares four inverse problem solutions for EIT, which are the Newton-Raphson with Tikhonov Regularization, Newton-Raphson with pseudoinverse, Newton-Raphson with Singular Value Decomposition (SVD), and Landweber Iteration. The performances of these methods are compared in three cases: single conductive object, single resistive object, and multiple objects. All methods produce clear and good contrast in reconstruction for single conductive and resistive objects. However, for multiple objects case, only Newton-Raphson with Tikhonov Regularization and Landweber converge.
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