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The 2D mathematical model of a highly adaptive sensor for use in electrical impedance tomography (EIT) is established. Based on the model, the optimized parameters of the sensor are obtained. Reconstructed images are presented to illustrate the effectiveness of the model using Tikhonov regularization methods based on the sensitivity theorem. The quality of reconstructed images is high in both size and position.