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This paper introduces the Kuopio Tomography Challenge 2023 (KTC 2023), created to inspire and facilitate algorithm development for image reconstruction in electrical impedance tomography (EIT). A laboratory EIT dataset was prepared for the KTC 2023, using conductive and resistive inclusions of various shapes and sizes placed inside a shallow, circular water tank. The task for the competitors of the challenge was to produce segmented images of the inclusions from EIT data in cases of complete coverage of the tank surface with electrodes (lowest level of difficulty) and in cases of decreasing boundary coverage (corresponding to increasing level of challenge difficulty). A total of seven teams, with members from seven countries, participated in KTC 2023, submitting a total of 22 algorithms. The results of the competition show a variety of novel algorithms applied to real EIT data, with high quality image reconstructions from limited boundary data. The EIT data set collected for the challenge is publicly available for future studies on EIT image reconstruction.
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Räsänen et al. (2024) studied this question.
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