Resistivity Imaging of a Phantom with Irregular Inhomogeneities with 32 Silver Electrodes based Sensory System in Two Dimensional Electrical Impedance Tomography

In this paper, 32-silver electrodes based electrical impedance tomography (EIT) system has been modeled, fabricated and tested with different irregular inhomogeneities. In order to execute the proposed work, a simulation study using Finite Element Method (FEM) based Multiphysics software has been performed, in which we have imaged perfectly the shape, position and sizes of irregular shaped objects situated within a specified phantom area in a two dimensional (2-D) plane. Simultaneously, we have developed a real-time system consists of 32 silver electrodes (placed equidistantly) to detect non-conducting objects like plastic container and stone in normal saline solution. We have injected a constant current to the phantom boundary and the surface potentials are being measured using neighbouring method. The output voltages are collected and stored in the form of data sets for reconstructing the voltage density distribution plot using forward solver algorithm of EIT in FEM based Multiphysics Software. The resulting images show the resistivity profiles within the phantom area through which the presence of those objects are successfully observed.