Comparative Study of Reconstruction Algorithms for Electrical Impedance Tomography

We compare the quality of some classic Electrical Impedance Tomography (EIT) algorithms according to different methods of solving inverse problem. We carried out a transverse comparison between single-step reconstruction and modified Newton-Raphson algorithms (MNR). Our results of the simulation evaluation demonstrate Sensitive matrix algorithm is better than equipotential lines back-projection algorithm (ELBP) with more accurate location, more clear boundary imaging; mixed regularization reconstruction is better than other regularizations with higher contrast, better good interference rejection. Different EIT algorithms have a bigger difference at image quality and information to the same imaging targets.