Effect of structured packing on EIT image reconstruction

Broadly used in chemical engineering, structured packing is beneficial for maximizing liquid spreading. In this paper, image reconstruction for electrical impedance tomography (EIT) sensors with structured packing is investigated. To evaluate the effect of structured packing on image quality, characterization of EIT sensor with structured packing is firstly carried out. Furthermore, fringe effect in image reconstruction using these sensors is presented. Based on the study, it is found that compared with standard Tikhonov regularization and Landweber iteration, using 2-order difference operators, such as Gaussian-Laplace operator, can effectively decrease the degradation of image quality. The study also discusses the feasibility of using homogeneous sensitivity matrix in image reconstruction. Numerical analysis is carried out to demonstrate the validation of the study.