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This paper proposes a novel approach to reconstruct changes in a targetconductivity from electrical impedance tomography measurements. As in theconventional difference imaging, the reconstruction of the conductivity changeis based on electrical potential measurements from the exterior boundary of thetarget before and after the change. In this paper, however, images of theconductivity before and after the change are reconstructed simultaneously basedon the two data sets. The key feature of the approach is that the conductivityafter the change is parameterized as a linear combination of the initial stateand the change. This allows for modeling independently the spatialcharacteristics of the background conductivity and the change of theconductivity - by separate regularization functionals. The approach also allowsin a straightforward way the restriction of the conductivity change to alocalized region of interest inside the domain. While conventional differenceimaging reconstruction is based on a global linearization of the observationmodel, the proposed approach amounts to solving a non-linear inverse problem.The feasibility of the proposed reconstruction method is tested experimentallyand with a simulation which demonstrates a potential new medical application ofelectrical impedance tomography: imaging of vocal folds in voice loadingstudies.

Estimation of conductivity changes in a region of interest with electrical impedance tomography