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SummaryThe Lung Image Database Consortium image collection (LIDC-IDRI) consists of diagnostic and lung cancer screening thoracic computed tomography (CT) scans with marked-up annotated lesions. It is a web-accessible international resource for development, training, and evaluation of computer-assisted diagnostic (CAD) methods for lung cancer detection and diagnosis.
Important note: There was a "pilot release" of 399 cases of the LIDC CT data via the NCI CBIIT installation of NBIA. The LIDC-IDRI collection contained on TCIA is the complete data set of all 1,010 patients which includes all 399 pilot CT cases plus the additional 611 patient CTs and all 290 corresponding chest x-rays. A table which allows mapping between the old NBIA IDs and new TCIA IDs can be downloaded for those who have obtained and analyzed the older data.
Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search By Collection option.
Click the Versions tab for more info about data releases.
CT (computed tomography)
Number of Patients
Number of Studies
Number of Series
Number of Images
|Image Size (GB)||124|
Note: On 2012-03-21 the XML associated with patient LIDC-IDRI-0101 was updated with a corrected version of the file. The old version is still available via the wiki if needed for audit purposes.
Note: Prior to 7/27/2015, many of the series in the LIDC-IDRI collection,had inconsistent values in the DICOM Frame of Reference UID, DICOM tag (0020,0052). Each image had a unique value for Frame of Reference (which should be consistent across a series). This has been corrected. In addition, the following tags, which were present (but should not have been), were removed: (0020,0200) Synchronization Frame of Reference, (3006,0024) Referenced Frame of Reference, and (3006,00c2) Related Frame of Reference.
This collection contains a great deal of supporting documentation that was generated by members of the LIDC. It can be found on the LIDC research page. A subset of the metadata (XML annotation/markup info) is also contained alongside the images in TCIA and will be automatically downloaded with the images unless specified to be excluded.
Citations & Data Usage Policy
This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to firstname.lastname@example.org. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:
The Cancer Imaging Archive Team. Data From LIDC-IDRI. doi:10.7937/K9/TCIA.2015.LO9QL9SX
Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)
Other Publications Using This Data
The following paper published in Medical Physics is effectively the user's manual for the database and should be cited as follows in all manuscripts that make use of the database:
Armato SG III, McLennan G, Bidaut L, McNitt-Gray MF, Meyer CR, Reeves AP, Zhao B, Aberle DR, Henschke CI, Hoffman EA, Kazerooni EA, MacMahon H, van Beek EJR, Yankelevitz D, et al.: The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans. Medical Physics, 38: 915--931, 2011.
In addition to following The Cancer Imaging Archive's (TCIA’s) Citation Guidelines, if you use this data in your research, please be sure to include the following attribution in any publications or grant applications along with references to appropriate LIDC publications. A listing of these publications can be found on TCIA's Related Publications page.
The authors acknowledge the National Cancer Institute and the Foundation for the National Institutes of Health, and their critical role in the creation of the free publicly available LIDC/IDRI Database used in this study.
If you have a manuscript you'd like to add please contact the TCIA Helpdesk.
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