ELECTRICAL IMPEDANCE TOMOGRAPHY (EIT) BASED MEDICAL IMAGING USING FINITE ELEMENT METHOD (FEM)

Abstract

The resistivity of biological tissue happens to be the basis of the field distribution inside the tissue. Hence the current injected in different patterns has a unique current distribution profile. The images of this field distribution are reconstructed using tools like FEMM and EIDORS. The work described here is the EIT based imaging of a closed phantom for detection of abnormality present. This system consists of 16 silver electrodes placed equidistant and detects non-conducting and conducting objects like clay and copper spindle in normal saline solution. The current is injected in two adjacent electrodes and the voltages are measured in neighbouring pattern at every consecutive pair of electrodes. The output data sets are used to reconstruct the voltage density distribution in closed phantom. The resulting images show that the resistivity profiles of the phantom for various events are successfully reconstructed. In this paper, the voltage density distribution is reconstructed into an image to detect the type, the location and the size of the abnormality present using FEMM tool.