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.
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.
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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: ____________________.
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)