3D Image Reconstruction based on Electrical Impedance Tomography Measurements using a Gauss-Newton Algorithm

Electrical Impedance Tomography (EIT) is a non-invasive imaging technique in which a current is injected into the measurement medium and based on the attained boundary voltages that appear on its surface, its inner conductivity distribution can be determined. The injected current is not contained to one plane and has a three-dimensional flow, hence it is interesting to investigate 3D measurements and reconstructions based on EIT measurements. In this work, a framework for 3D EIT measurements has been developed using a water tank along with the corresponding forward model and image reconstruction algorithm based on EIDORS. Different measurements have been conducted using a conductive and a non-conductive objects that were placed in the water tank. Tests have shown that the used 2D hardware can also be used for 3D measurements. In addition, in terms of reconstructed conductivity images, the position of the measured objects is clearly visible and a distinction between the conductive and non-conductive has been attained.