The Cancer Imaging Archive (TCIA) Public Access

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  • A whole-body FDG-PET/CT dataset with manually annotated tumor lesions (FDG-PET-CT-Lesions)

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Some data in this collection contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a TCIA Restricted License Agreement to help@cancerimagingarchive.net before accessing the data.

Per the submitter's request, users must sign and submit a TCIA Restricted License Agreement to help@cancerimagingarchive.net before accessing certain data from this collection.

Data TypeDownload all or Query/FilterLicense

Images and Segmentations (DICOM, 418.9 GB)


Tcia button generator



Tcia button generator
labelSearch


(Download requires the NBIA Data Retriever)


TCIA Restricted

Clinical data (CSV)


Tcia button generator




TCIA Restricted

Scripts for file conversion, preprocessing alignment and resampling of
PET, CT and mask data to NIfTI, MHA, and HDF5 formats


Tcia button generator
exttrue
labelSearch
urlhttps://github.com/lab-midas/TCIA_processing



https://github.com/lab-midas/TCIA_processing.git


Click the Versions tab for more info about data releases.

Please contact help@cancerimagingarchive.net  with any questions regarding usage.


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

PT, CT, and SEG

Number of Patients

900

Number of Studies

1014

Number of Series

3088

Number of Images

916,957

Images Size (GB)418.9

Notes: 

Here are conversion scripts for these data https://github.com/lab-midas/TCIA_processing

  • Converts DICOM to NIfTI , and also create resampled/resliced CT and an SUV file using tcia_dicom_to_nifti.py (requires install of dicom2nifti and matplotlib)
  • It is straight forward to generate HDF5 files from the NIfTI files using tcia_nifti_to_hdf5.py.
  • Organizes NIfTI into HDF5 structure; note this output is a single large package.

SEG are most easily reviewed as overlay using MITK viewer or 3D Slicer.



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia head license access


Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:

Info
titleData Citation

Hepp T, Gatidis S. A whole-body FDG-PET/CT dataset with manually annotated tumor lesions (FDG-PET-CT-Lesions) [Dataset]. The Cancer Imaging Archive, 2022. DOI: 10.7937/gkr0-xv29 


Info
titlePublication Citation

<article coming soon>


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. DOI: 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.


Localtab
titleVersions

Version 1 (Current): Updated 2022/05/19

Data TypeDownload all or Query/Filter
Images (DICOM, 418.9 GB)


Tcia button generator



Tcia button generator
labelSearch



(Requires NBIA Data Retriever.)

Clinical data (CSV)


Tcia button generator



Scripts for file conversion, preprocessing alignment and resampling of
PET, CT and mask data to NIfTI, MHA, and HDF5 formats

https://github.com/lab-midas/TCIA_processing.git

Tcia button generator
exttrue
labelSearch
urlhttps://github.com/lab-midas/TCIA_processing





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