Monotony based inclusion detection in EIT for realistic electrode models

In electrical impedance tomography (EIT), there is a monotony relation between the conductivity of an imaging subject and the EIT measurements. Such monotony relations can be used for inclusion detection methods. However, up to now, monotony-based methods were only known to reconstruct an upper or lower bound of inclusions. In a recent preprint, the authors showed that, for continuous boundary data, monotony based methods are in fact capable of reconstructing the exact shape of inclusions. In this work, we discuss how to extend our results to the practically relevant complete electrode model setting and study the possibility of rigorous resolution guarantees.