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
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 Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever . Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.
| Data Type | Download all or Query/Filter |
|---|---|
| Images and Segmentations (DICOM, 36.51 GB) |
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Click the Versions tab for more info about data releases.
Detailed Description
|
Collection Statistics |
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|---|---|
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Modalities |
CT, PR, SEG, SR |
|
Number of Participants |
1 |
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Number of Studies |
468 |
|
Number of Series |
1599 |
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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 of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 3.0 Unported License under which it has been published. Attribution should include references to the following citations:
Data Citation
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. DOI: 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. At this time we are not aware of any publications based on this data. If you have a publication you'd like to add, please contact the TCIA Helpdesk.
Version 1 (Current): Updated 2011/11/28
| Data Type | Download all or Query/Filter |
|---|---|
| Images (DICOM, 36.51 GB) |
(Requires the
NBIA Data Retriever
.) |