Sample Case from DEEP-PSMA Dataset: A Repository of Annotated PSMA and FDG PET/CT Images for Algorithm Development in Staging of mCRPC for Treament with 177Lu-PSMA Therapy
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To make available for easy previewing, a sample case from the DEEP-PSMA Dataset. All 100 cases available in Zenodo record https://zenodo.org/records/15281784. PSMA PET/CT scans are annotated based on SUV threshold >= 3 with manual removal of areas of physiological tracer uptake. Threshold used for FDG PET/CT scans is liver-based, variable among individuals. Works describing the annotation methodology as applied to separate cohorts can be found in Ferdinandus et al. and Buteau et al.. Data is provided in a format (*.nii.gz) to facilitate algorithm development as part of the DEEP-PSMA challenge. All cases contain some presence of measurable disease on both PSMA and FDG images. CT and PET images are provided in their native resolution and Total Tumour Burden (TTB) contour is aligned to the PET image coordinates. The appropriate SUV threshold used for contouring is provided as well as a rigid registration in SITK format for course alignment between PSMA and FDG image sets. For more detail please review the Dataset Format page on the Grand Challenge site.



