Regularization methods in electrical impedance tomography technique for the two-phase flow visualization

Abstract The electrical impedance tomography (EIT) technique for the two-phase flow visualization requires the solution of a nonlinear inverse problem, which is typically ill-posed and subject to noisy data. During the solution procedure, hence, regularization methods are often introduced. This work presents a comparative study on several regularization methods to seek a suitable one for the visualization of liquid/vapor phase distribution. The images reconstructed by first order difference and implicitly scaled Levenberg-Marquardt regularizations give relatively good results even under some errors in measurement data. Also some computational issues relating EIT inverse problem are discussed.