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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Documentation is available for this collection here: ____________________.
Please be sure to include the following citations in your work if you use this data set:
Mackin, Dennis. (2017). Data From Lung_Phantom. The Cancer Imaging Archive. http://doi.org/
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)
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