Combined algorithm of total variation and gauss-Newton for image reconstruction in two-dimensional Electrical Impedance Tomography (EIT)

Abstract

A combined algorithm of Total Variation and Gauss-Newton has been successfully implemented to reconstruct the image in two-dimensional Electrical Impedance Tomography (EIT). In this study, image reconstruction was generated from 16 electrodes made from copper (Cu) with a neighboring method for data measurement. The constant current of 1 mA at a frequency of 20 kHz was injected into a pair of electrodes, and voltage measurement was recorded via sequential pairs of neighboring electrodes. Electrical Impedance Tomography and Diffuse Optical Reconstruction Software (EIDORS) was used to process the data. The results indicated that the combined algorithm of Total Variation Algorithm and Gauss-Newton was capable of reconstructing the image with better image shape and could determine the real position and the characteristic of the sample, either conductive or resistive materials, in the phantom. The material characteristic can be represented by a color scale, with red color indicates high conductivity and blue color indicates high resistivity.