Data Access
Data Type | Download all or Query/Filter |
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Images and Radiation Therapy Structures (DICOM, 9.3 GB) | (Download requires the NBIA Data Retriever) |
Click the Versions tab for more info about data releases.
Please contact help@cancerimagingarchive.net with any questions regarding usage.
Detailed Description
Radiology Image Statistics | |
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Modalities | CT, RT |
Number of Patients | 40 |
Number of Studies | 40 |
Number of Series | 240 |
Number of Images | 16,962 |
Images Size (GB) | 9.3 GB |
Some notes about abbreviations in the dataset:
BSCB =“Bowel_sm” (i.e. small bowel) structure drawn on cone-beam CT
LL, LR = Lung left, Lung right
SDCB = Stomach-duodenum structure on cone-beam CT
SBPC = misspelled, should be BSPC which stands for Bowel Small in planning CT
SDPC = Stomach-duodenum on planning CT
BSPC = Bowel Small on planning CT
DIBH = “Deep inspiration breath hold”, may occur in the study description of the planning CT; will be explained in the text to users
“UNAPPROVED” = means that the contours were not approved for clinical use but they were checked by the research team.
Citations & Data Usage Policy
Data Citation
Hong, J., Reyngold, M., Crane, C., Cuaron, J., Hajj, C., Mann, J., Zinovoy, M., Yorke, E., LoCastro, E., Apte, A. P., & Mageras, G. (2021). Breath-hold CT and cone-beam CT images with expert manual organ-at-risk segmentations from radiation treatments of locally advanced pancreatic cancer [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.ESHQ-4D90
Publication Citation
Han, X., Hong, J., Reyngold, M., Crane, C., Cuaron, J., Hajj, C., Mann, J., Zinovoy, M., Greer, H., Yorke, E., Mageras, G., & Niethammer, M. (2021). Deep‐learning‐based image registration and automatic segmentation of organs‐at‐risk in cone‐beam CT scans from high‐dose radiation treatment of pancreatic cancer. Medical Physics, 48(6), 3084–3095. https://doi.org/10.1002/mp.14906
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. 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. https://doi.org/10.1007/s10278-013-9622-7
Other Publications Using This Data
TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.
Version 1 (Current): Updated 2021/10/15
Data Type | Download all or Query/Filter |
---|---|
Images and Radiation Therapy Structures (DICOM, 9.3 GB) | (Download requires the NBIA Data Retriever) |