EXACT'09 – Extraction of Airways from CT

License

The original data sets and associated segmentation data downloaded here, or any data derived from these data sets, must not be given nor redistributed under any circumstances to persons not belonging to the registered team.

Citation

Paper BibTeX:

@article{lo2012extraction,
  title={Extraction of airways from CT (EXACT'09)},
  author={Lo, Pechin and Van Ginneken, Bram and Reinhardt, Joseph M and Yavarna, Tarunashree and De Jong, Pim A and Irving, Benjamin and Fetita, Catalin and Ortner, Margarete and Pinho, R{\^o}mulo and Sijbers, Jan and others},
  journal={IEEE Transactions on Medical Imaging},
  volume={31},
  number={11},
  pages={2093--2107},
  year={2012},
  publisher={IEEE}
}

Dataset description

The goal of the EXACT study is to compare algorithms to extract the airway tree from chest CT scans using a common dataset and performance evaluation method.

Challenge homepage: https://image.diku.dk/exact/index.php

Number of CT volumes: 40

Contrast: Various scanning conditions (contrast and non-contrast)

CT body coverage: Chest

Does the dataset include any ground truth annotations?: Yes

Original GT annotation targets: Airway trees

Number of annotated CT volumes: -

Annotator: Algorithmic segmentation with visual scoring by trained observers

Acquisition centers: Eight institutions

Pathology/Disease: From healthy subjects to severe airway and lung abnormalities

Original dataset download link: -

Original dataset format: DICOM