The Cancer Imaging Archive (TCIA) Public Access

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Summary

Redirect
delay5
locationhttps://www.cancerimagingarchive.net/collection/pancreas-ct/
The National Institutes of Health Clinical Center performed 82 abdominal contrast enhanced 3D CT scans (~70 seconds after intravenous contrast injection in portal-venous) from 53 male and 27 female subjects.  Seventeen of the subjects are healthy kidney donors scanned prior to nephrectomy.  The remaining 65 patients were selected by a radiologist from patients who neither had major abdominal pathologies nor pancreatic cancer lesions.  Subjects' ages range from 18 to 76 years with a mean age of 46.8 ± 16.7. The CT scans have resolutions of 512x512 pixels with varying pixel sizes and slice thickness between 1.5 − 2.5 mm, acquired on Philips and Siemens MDCT scanners (120 kVp tube voltage).

A medical student manually performed slice-by-slice segmentations of the pancreas as ground-truth and these were verified/modified by an experienced radiologist.


Localtab Group



Localtab
activetrue
titleData Access

Data Access

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 TypeDownload all or Query/Filter

License

Images (DICOM,
10
9.
2
3 GB)

Image Removed Image Removed 

Manual Annotations


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/22514040/Pancreas-CT%2020200910.tcia?version=1&modificationDate=1599754273288&api=v2



Tcia button generator
labelSearch
urlhttps://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=Pancreas-CT



(Download requires NBIA Data Retriever)

Tcia cc by 3

Manual Annotations (zip, 975 kB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/22514040/TCIA_pancreas_labels-02-05-2017.zip?version=2



Tcia cc by 3

Image Removed



Click the Versions tab for more info about data releases.

Nci_crdc additional resources




Localtab
titleDetailed Description

Detailed Description


Collection Statistics


Modalities

CT

Number of PatientsParticipants

8280

Number of Studies

8280

Number of Series

8280

Number of Images

1918,328942

Image Size (GB)109.23


Data Example


Note

The DICOM files were created from anonymized volumetric images (Analyze and NifTI) using this from ITK: http://www.itk.org/Doxygen/html/Examples_2IO_2ImageReadDicomSeriesWrite_8cxx-example.html .





Localtab
titleCitations & Data Usage Policy

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 include the following citations in your work if you use this data set:

Tcia limited license policy

Info
titleData Citation

Holger RRoth, H. Roth, Amal Farag, Evrim , A., Turkbey, E. B. Turkbey, Le Lu, Jiamin L., Liu, and Ronald MJ., & Summers, R. M. (2016). Data From Pancreas-CT (Version 2) [Data set]. The Cancer Imaging Archive. http https://doi.org/10.7937/K9/TCIA.2016.tNB1kqBU




Info
titlePublication Citation

Roth HR, Lu L, Farag A, Shin H-C, Liu J, Turkbey EB, Summers RM. DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. N. Navab et al. (Eds.): MICCAI 2015, Part I, LNCS 9349, pp. 556–564, 2015.  (paper)arXiv link) https://doi.org/10.1007/978-3-319-24553-9_68




Info
titleTCIA 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. (paper)DOI: https://doi.org/10.1007/s10278-013-9622-7


Other Publications Using This Data

TCIA maintains a list of publications that leverage TCIA data. If you have a publication manuscript you'd like to add , please contact the TCIA Helpdesk. Below is a list of such publications using this Collection:

  • Gibson, E., Giganti, F., Hu, Y., Bonmati, E., Bandula, S., Gurusamy, K., . . . Barratt, D. C. (2017). Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks. Paper presented at the International Conference on Medical Image Computing and Computer-Assisted Intervention.
  • Greenspan, H., van Ginneken, B., & Summers, R. M. (2016). Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique. IEEE Transactions on Medical Imaging, 35(5), 1153-1159. doi:10.1109/TMI.2016.2553401
  • Shi, H., Lu, L., Yin, M., Zhong, C., & Yang, F. (2023). Joint few-shot registration and segmentation self-training of 3D medical images. Biomedical Signal Processing and Control, 80. doi:https://doi.org/10.1016/j.bspc.2022.104294




Localtab
titleVersions

Version

1

2 (Current): Updated

20151229

2020/09/10

Data TypeDownload all or Query/Filter
Images (DICOM, 109.2 GB)

Image Removed Image Removed

(Requires the NBIA Data Retriever.)

3 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/22514040/Pancreas-CT%2020200910.tcia?version=1&modificationDate=1599754273288&api=v2



Tcia button generator
labelSearch
urlhttps://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=Pancreas-CT



(Download requires the NBIA Data Retriever)

Manual Annotations


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/22514040/TCIA_pancreas_labels-02-05-2017.zip?version=2



Note: Previously posted cases #25 and #70 were found to be from the same scan as case #2, just cropped slightly differently, and were removed from this version of the dataset.

Version 1 : Updated 2015/12/29

Data TypeDownload all or Query/Filter
Images (DICOM, 10.2 GB)

not available, see version 2

Manual Annotations


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/22514040/TCIA_pancreas_labels-02-05-2017.zip?version=1&modificationDate=1488846745296&api=v2
Manual Annotations
Image Removed