THORAX IMAGING USING TWO-DIMENSIONAL ELECTRICAL IMPEDANCE TOMOGRAPHY: A NOVEL METHOD FOR ANOMALY DETECTION BY SENSITIVITY DISTRIBUTION ANALYSIS

Electrical Impedance Tomography (EIT) isa non-invasive medical imaging technique which estimates the electrical impedance distribution within tissue. The basic principle of EIT isa mapping of the immittance distribution (tomography) usingthe measurement of some passive electrical properties of tissue named bioimpedance.The study aimed to assess the performance of the EIT system in detectingan anomaly in thorax imaging with varying different frequencies, by analysis of sensitivity distribution. Sensitivity distribution was visualized using COMSOL Multiphysics simulation in a human thorax represented as an elliptic cylinder phantom consisting ofan inhomogeneous medium within and without an anomaly represented by a sphere. Current density distribution was collected for sensitivity analysis using the neighboring method with current injection at 1 mA for each pair of electrodes with frequencies 70, 100, and 130 kHz. Results indicate that the modeled two dimensional EIT detected changes in the inhomogeneous media with and without anomaly inside the modeled thorax phantom very well