- Created by Justin Kirby, last modified by Tracy Nolan on Apr 26, 2023
Summary
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.
Data Access
| Data Type | Download all or Query/Filter | License |
|---|---|---|
| Images and Segmentations (DICOM, 36.51 GB) | (Download requires the NBIA Data Retriever) |
Click the Versions tab for more info about data releases.
Additional Resources for this Dataset
The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.
- Imaging Data Commons (IDC) (Imaging Data)
Detailed Description
Collection Statistics | |
|---|---|
Modalities | CT, PR, SEG, SR |
Number of Patients | 1 |
Number of Studies | 468 |
Number of Series | 1599 |
Number of Images | 69,258 |
| Image Size (GB) | 36.51 |
Metadata
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.
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Data Citation
Fenimore, C., McNitt-Gray, M. F., Clunie, D., Gavrielides, M. A., Petrick, N., Samei, E., Chen, B., Saiprasad, G., Jen-Sho Chen, J., Boedeker, K., Chen-Mayer, H., Barudin, J., Beute, B., Byrne, K., Edeburn, G., Kaplan, S., Sherman, J., & Slazak, K. (2016). Data from QIBA CT-1C (Version 1) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/k9/tcia.2016.yxgr4blu
TCIA Citation
Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. (2013) The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6 pp 1045-1057. DOI: 10.1007/s10278-013-9622-7
Other Publications Using This Data
TCIA maintains a list of publications that leverage our data. If you have a publication you'd like to add, please contact TCIA's Helpdesk.
Version 1 (Current): Updated 2011/11/28
| Data Type | Download all or Query/Filter |
|---|---|
| Images (DICOM, 36.51 GB) | (Download requires the NBIA Data Retriever) |
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