Abstract

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.Keywordselectrical impedance tomographyinverse problemimage reconstruction

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