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Localtab Group


Localtab
activetrue
titleData Access

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 browse or filter the data to select only specific scans/studies please use the Search option.

Data TypeDownload all or Query/Filter
Images (DICOM, 1.4 GB)

 

Clinical (e.g. patient demographics, outcomes)

Image Removed

Detailed clinical, genomic, and expression array dataDeformation Vector Fields (MATLAB)

Click the Versions tab for more info about data releases.


Localtab
titleDetailed Description

Detailed Description

Collection Statistics

 

Modalities

CT, MR, RTSTRUCT, Matlab

Number of Patients

9

Number of Studies

25

Number of Series

61

Number of Images

3596

Image Size (GB)1.4

Supporting Documentation

In addition to the DICOM images in TCIA,


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:

Info
titleData Citation

Rachel B. Ger, Jinzhong Yang, Yao Ding, Megan C. Jacobsen, Carlos E. Cardenas, Clifton D. Fuller, Rebecca M. Howell, Heng Li, R. Jason Stafford, Shouhao Zhou, Laurence E. Court (2018). Data from Synthetic and Phantom MR Images for Determining Deformable Image Registration Accuracy (MRI-DIR). The Cancer Imaging Archive. http://dx.doi.org/10.7937/K9/TCIA.2018.3f08iejt


Info
titlePublication Citation

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. (paper)

Other Publications Using This Data

TCIA maintains a list of publications which 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.

 


Localtab
titleVersions

Version 1 (Current): Updated 2018/06/30

Data TypeDownload all or Query/Filter
Images (DICOM,  1.4 GB)

 

Summary clinical data

Image Removed

Detailed clinical, genomic, and expression array dataDeformation Vector Fields (MATLAB)