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The CT‑PET dataset was created by Hanoi University of Science and Technology (Vietnam) and Nagoya University (Japan) among other institutions. It is currently the largest paired CT‑PET image dataset, containing 2,028,628 CT‑PET image pairs. The dataset covers a wide range of anatomical regions, from the head to the upper thigh, with images stored in DICOM format and detailed metadata. It was designed to support training and evaluation of CT‑to‑PET image translation models, particularly for cancer diagnosis and treatment monitoring. By incorporating domain knowledge such as attention maps and attenuation maps, the dataset aims to improve the accuracy of PET image generation and the quality of diagnostic information.
