EMPIRE10 Challenge

Note

Note: This dataset is subject to a customized license. Original CT images are not redistributed here; please refer to the official download link (below).

Supplementary segmentation annotations from our project are provided here. Users are expected to respect the intended use and restrictions of the original dataset license.

The mapping between our segmentation files and the original images can be found below.

License

Customized license:

The following rules apply to those who register a team and download the data:

The downloaded data sets or any data derived from these data sets, may not be given or redistributed under any circumstances to persons not belonging to the registered team.

Data downloaded from this site may only be used for the purpose of preparing an entry to be submitted on this site. The data may not be used for other purposes in scientific studies and may not be used to train or develop other algorithms, including but not limited to algorithms used in commercial products.

If the results of algorithms in this challenge are to be used in scientific publications (journal publications, conference papers, technical reports, presentations at conferences and meetings) you must make an appropriate citation. Murphy et al., "Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge.", IEEE Trans Med Imaging. 2011 Nov;30(11):1901-20.

Teams must notify the organisers of EMPIRE10 about any publication that is (partly) based on the results data published on this site, in order for us to maintain a list of publications associated with the challenge.

Citation

Paper BibTeX:

@article{murphy2011evaluation,
  title={Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge},
  author={Murphy, Keelin and Van Ginneken, Bram and Reinhardt, Joseph M and Kabus, Sven and Ding, Kai and Deng, Xiang and Cao, Kunlin and Du, Kaifang and Christensen, Gary E and Garcia, Vincent and others},
  journal={IEEE transactions on medical imaging},
  volume={30},
  number={11},
  pages={1901--1920},
  year={2011},
  publisher={IEEE}
}

Dataset description

Challenge homepage: https://empire10.grand-challenge.org/

Number of CT volumes: 60

Contrast: CT scans acquired at different breathing phases (e.g., full inspiration and expiration) and from 4D respiratory datasets

CT body coverage: Chest

Does the dataset include any ground truth annotations?: Yes

Original GT annotation targets: Lungs

Number of annotated CT volumes: 60

Annotator: Human + automated algorithm

Acquisition centers: Nelson Study (Dutch–Belgian lung-cancer screening trial) which is the largest lung cancer screening trial in Europe who lived in four selected regions in the Netherlands and Belgium

Pathology/Disease: Subjects may present with lung disease or be healthy

Original dataset download link: https://drive.google.com/drive/folders/1yHWLQEK9c1xzggkCC4VX0X4To7BBDqu5

Original dataset format: .mhd/.raw

ID mapping:
Our segmentation files use the naming convention **_Fixed/Moving_empire.
The original images use the naming convention **_Fixed/Moving.raw.
Each segmentation file matches directly to the image file with the same ID.