The QIBA CT-1C phantom collection was designed and shared to assist in Characterizing Variability, sans Biology. This data set was contributed by RSNA's Quantitative Imaging Biomarker Alliance activity, Volumetric CT Group 1C. Multiple image sets of the same phantoms were re-scanned across centers to isolate contributors to variability. The goal was to determine necessary control conditions to be documented in QIBA profiles, ensuring that the output for imaging when performed under these conditions will be adequately precise and accurate when scanned on profile-compliant equipment.Much more information about this data set can be found on the QIBA CT-1C wiki page at http://qibawiki.rsna.org/index.php?title=VolCT_-_Group_1C.
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.
Download all or Query/Filter
Images (DICOM, 36.51 GB)
Click the Versions tab for more info about data releases.
CT, PR, SEG, SR
Number of Patients
Number of Studies
Number of Series
Number of Images
Image Size (GB)
Much more information about this data set can be found on the QIBA CT-1C wiki page at http://qibawiki.rsna.org/index.php?title=VolCT_-_Group_1C. In addition to the actual image scans there are structured reports and segmentation files available. These are stored along side the images in DICOM format.
Please be sure to include the following citations in your work if you use this data set:
Fenimore, Charles, McNitt-Gray, Michael F., Clunie, David, Gavrielides, Marios A., Petrick, Nicholas, Samei, Ehsan, … Slazak, Katherine. (2016). Data from QIBA CT-1C. The Cancer Imaging Archive.http://doi.org/10.7937/K9/TCIA.2016.YxgR4blU
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)
Powered by a free Atlassian Confluence Open Source Project License granted to University of Arkansas for Medical Sciences (UAMS), College of Medicine, Dept. of Biomedical Informatics. Evaluate Confluence today.