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BIC-MAC Challenge Dataset is a collection for synthesizing pseudo-CT images from non-attenuation-corrected PET, whole-body MRI, and 2D topograms. The dataset supports the Big Cross-Modal Attenuation Correction challenge, enabling CT-less PET reconstruction. It was created by DEPICT-RH and last updated in March 2026.
Access requires registration at http://bic-mac-challenge.github.io/. Specific data formats, size, and licensing terms are not provided in the input.