Importance

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Abstract

Provided is an X-ray CT apparatus including a learned model generated by acquiring one or more learning data sets from one imaging without increasing exposure of a subject, and performing machine learning using the acquired learning set. The learned model is a model after learning in which a low-quality image is input data and a high-quality image is training data. The low-quality image and the high-quality image are obtained based on the same learning measurement data or learning projection data obtained by logarithmically converting the learning measurement data. The low-quality image is a CT image reconstructed from partial data obtained by dividing the learning measurement data or the learning projection data, and the high-quality image is a CT image obtained by reconstructing the learning projection data.

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First Claim