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Summary

The phantom was scanned at 16 clinics using each clinic's thoracic protocol. This data was obtained using a phantom designed specifically for texture analysis. Researchers studying radiomics will be able calculate features using their own software and evaluate the features for robustness across a variety of scanners. CT DICOM, then IBEX-format contours were generated.

Related publications: http://journals.lww.com/investigativeradiology/Abstract/2015/11000/Measuring_Computed_Tomography_Scanner_Variability.3.aspx                 

The following paper was generated on different imaging modalities but the same phantom, this is a related but independent paper with a different set of authors:  http://tinyurl.com/zm7tr7p

This data set was provided to TCIA by Authors: Mackin, Dennis; Fave, Xenia; Zhang, Lifei; Fried, David; Yang, Jinzhong; Taylor, Brian; Rodriguez-Rivera, Edgardo; Dodge, Cristina; Jones, Aaron Kyle; and Court, Laurence.  

TCIA Digital Object Identifier (will be) created to enable easy re-use of the complete multi-site data set.

 

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 By Collection option.

Data TypeDownload all or Query/Filter
Images (DICOM, XXXX MB) 

Click the Versions tab for more info about data releases.

Detailed Description

Collection Statistics

Updated 2017/05/01

Modalities

CT, RS, IBEX

Number of Patients

 

Number of Studies

 

Number of Series

51

Number of Images

 

Image Size (MB) 

Supporting Documentation and Metadata

Documentation is available for this collection here: ____________________.

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:

Data Citation

Mackin, Dennis. (2017). Data From Lung_Phantom. The Cancer Imaging Archive. http://doi.org/

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. (paper)

 

Other Publications Using This Data

TCIA maintains a list of publications which leverage our data.If you have a publication you'd like to add please contact the TCIA Helpdesk.

Version 1 (Current): Updated 2017/05/01

Data TypeDownload all or Query/Filter
Images (XXX MB) 

 

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