Magnetic induction tomography (MIT) is a contactless electromagnetic imaging. In our previous study we have demonstrated that the MIT is able to image metal flow in continous casting. In this paper we demonstrate application of a Kalman filter for the image reconstruction problem of MIT using real data from a continous casting unit. The proposed method is using data from each excitation to reconstruct the conductivity distribution. We discuss the advantage of the dynamical method compared to traditional static image reconstruction technique.

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