Summary
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The 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. |
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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.
Initiated by the National Cancer Institute (NCI), further advanced by the Foundation for the National Institutes of Health (FNIH), and accompanied by the Food and Drug Administration (FDA) through active participation, this public-private partnership demonstrates the success of a consortium founded on a consensus-based process. |
Seven academic centers and eight medical imaging companies collaborated to create this data set which contains 1018 cases. Each subject includes images from a clinical thoracic CT scan and an associated XML file that records the results of a two-phase image annotation process performed by four experienced thoracic radiologists. In the initial blinded-read phase, each radiologist independently reviewed each CT scan and marked lesions belonging to one of three categories ("nodule > or =3 mm," "nodule <3 mm," and "non-nodule > or =3 mm"). In the subsequent unblinded-read phase, each radiologist independently reviewed their own marks along with the anonymized marks of the three other radiologists to render a final opinion. The goal of this process was to identify as completely as possible all lung nodules in each CT scan without requiring forced consensus.
Note : The TCIA team strongly encourages users to review pylidc and the Standardized representation of the TCIA LIDC-IDRI annotations using DICOM (DICOM-LIDC-IDRI-Nodules) of the annotations/segmentations included in this dataset before developing custom tools to analyze the XML version.
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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.
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Click the Versions tab for more info about data releases.
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title | Detailed Description |
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Detailed Description
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Collection Statistics
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updated 3/21/2012
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Modalities
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CT (computed tomography)
DX (digital radiography)
CR (computed radiography)
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Number of Patients
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1,010
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Number of Studies
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1,308
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Number of Series
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1,018 CT
290 CR/DX
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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.
Metadata
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.
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title | Citations & Data Usage Policy |
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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 help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:
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The Cancer Imaging Archive Team. Data From LIDC-IDRI. doi:10.7937/K9/TCIA.2015.LO9QL9SX |
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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:
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LIDC-IDRI Attribution:
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.
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