Recent Prospects of Medical Imaging and Sensing Technologies Based on Electrical Impedance Data Acquisition System

Abstract

This paper presents a cost-effective data acquisition & medical imaging system using electrical impedance tomography (EIT). The presented method investigates & analyses the output image retrieved from the electrical conductivity distribution of a test object or phantom. The image reconstruction was performed using a modified imaging algorithm. The experimental setup of the proposed system mainly consists of convertible 16/8/4 electrodes (which are the phantom circumference attached), the accurate static Current Source (Milli Ampere Current with KHz Frequency) for providing current which passes into the boundary of an object through a different pair of electrodes. The output of electrodes is acquired as a voltage that is measured from the boundary of the conductive object of other electrodes pair and fed into a computer for the appropriate computing of the acquired data. EIT systems with GUI are used in the data collection procedure to provide a user-friendly interface for effective picture reconstruction, which is used both like offline and online functioning are possible. Performance testing was carried out utilizing a variety of phantom models that represented human test subjects and different physical objects. The data acquisition (DAQ) techniques used in EIT produced findings that were innovative, comparable and showed enhanced sensitivity, functionality for engineering society.