ENHANCE.PET 1.6k - Whole-/Total-Body [18F]FDG-PET/CT with CT-Derived Segmentations

Description

Open, multi-center dataset of 1,597 whole-/total-body FDG-PET/CT studies with 130 CT-derived, expert-verified anatomical segmentations per scan (~250 GB). Provided as anonymized NIfTI (PET, CT, labels) with spreadsheet metadata. Designed for segmentation benchmarking, multi-organ analysis, radiomics, and PET/CT AI research.

Update Frequency

Ad hoc (new releases aligned with additional cohort availability)

License

Dataset licensing per originating site: - AutoPET Challenge: CC BY-NC 4.0 (non-commercial use) - University Hospital Leipzig: CC BY 4.0 - Azienda Ospedaliero Universitaria Careggi: CC BY 4.0 Software (MOOSE): Apache-2.0.

Documentation

https://github.com/ENHANCE-PET/MOOSE/blob/main/DATA_CARD.md

Managed By

ENHANCE.PET initiative (LMU Klinikum & partners)

See all datasets managed by ENHANCE.PET initiative (LMU Klinikum & partners).

Contact

Lalith.shiyam@med.uni-muenchen.de

How to Cite

ENHANCE.PET 1.6k - Whole-/Total-Body [18F]FDG-PET/CT with CT-Derived Segmentations was accessed on DATE from https://registry.opendata.aws/enhance-pet-1-6k. Ferrara D. et al. (2025). Sharing a whole-/total-body [18F]FDG-PET/CT dataset with CT-derived segmentations - an ENHANCE.PET initiative. https://doi.org/10.21203/rs.3.rs-7169062/v2

Usage Examples

Tutorials

• Dataset Organization & AWS Access (MOOSE CLI) by ENHANCE.PET Team
  

Tools & Applications

• MOOSE (Multi-organ objective segmentation tool) by ENHANCE.PET (QIMP Team)
  

Publications

• Sharing a whole-/total-body [18F]FDG-PET/CT dataset with CT-derived segmentations - an ENHANCE.PET initiative by Ferrara, D.; Pires, M.; Gutschmayer, S.; Yu, J.; Abdelhafez, Y. G.; Abenavoli, E.; Badawi, R. D.; Chaudhari, A. J.; Chen, M. S.; Cherry, S. R.; Frille, A.; Geist, B. K.; Grüenert, S.; Hacker, M.; Hesse, S.; Kerkhoff, T.; Linder, P.; Pappisch, J.; Pusitz, S.; Raslan, O. A.; Rausch, I.; Raychaudhuri, S. P.; Sabri, O.; Schmidt, F.; Sciagrà, R.; Spencer, B.; Wang, G.; Wirtz, H.; Beyer, T.; Sundar, L. K. S.