Dynamic image reconstruction in electrical impedance tomography with known internal structures

A dynamic electrical impedance tomography (EIT) imaging technique is described for the cases in which a fixed internal structure and/or its resistivity are known and the resistivity distribution of the rest of the interior of the object changes rapidly within the time taken to acquire a full set of independent measurement data. The inverse problem is treated as a state estimation problem and the unknown state (resistivity) is estimated with the aid of the extended Kalman filter (EKF). We carried out both a computer simulation with synthetic data and a laboratory experiment with real measurement data to illustrate the reconstruction performance of the proposed algorithm.