Sensor based Image Reconstruction in Electrical Impedance Tomography using Open-Source Technology

Electrical Impedance Tomography (EIT) is noninvasive imaging methodology with very small current injected in body through electrodes. With current injection, differential voltage is acquired, and these voltages are used for image reconstruction. The accuracy of image reconstruction depends predominantly on dimensions of electrodes and material used. Stainless steel electrode sensor is designed and developed. An open-source reconstruction software EIDORS is used in this work. Circular phantom with conducting and non-conducting impurities are used for experimentation. The phantom is resembling the human body shape and impurities are depicting types of cancerous body tissues. EIT system is thus developed, and the voltage dataset obtained from the system is used further for image reconstruction to analyze the type, position as well as shape of the impurity. Small error between original and reconstructed image of around 6 to 8% is achieved with improved blur radius of 1.06. Also, the percentage of location error is also reduced to 9 to 12%. Development of sensor based EIT system and the experimental results along with open-source image reconstruction approach is the important contribution discussed in this paper which can be used for several biomedical applications.