Summary
This collection consists of 17 CT scans of the Credence Cartridge Radiomics (CCR) phantom, which was designed for use in studies of texture feature robustness. The scans were acquired at four medical centers using each center’s chest protocol and were taken using GE (7 scans), Philips (5 scans), Siemens (2 scans), and Toshiba (3 scans) scanners. The CCR phantom has 10 cartridges, each with a unique texture, Fig 1. The first four cartridges are 3D printed ABS plastic with 20%, 30%, 40%, and 50% honeycomb fill, and they provide regular, periodic textures. The next three cartridges provide natural textures: sycamore wood, cork, and extra dense cork. A cartridges of shredded rubber particles provides textures similar to those of non-small cell lung cancer. The ninth cartridge is solid, homogenous acrylic and provides a minimal texture control. Finally, the 10th cartridge is 3D printed plaster has the highest electron density (400 – 600 HU) and is intended to more similar to bone.
In addition to the DICOM images for the 17 scans, this collection also contains two sets of contours as DICOM RT structure files. The first set provides 8x8x2 cm3 contours for each cartridge in each scan. The second set provides 16 adjacent 2x2x2 cm3 contours for each cartridge in each scan. Researchers studying radiomics will be able to evaluate features for robustness across a variety of scanners. Features can be calculated using the researchers own software or third party software such as IBEX (imaging biomarker explorer).
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: https://doi.org/10.1118/1.4934826
Fig. 1: The 10 cartridges of the CCR radiomics phantom.
Acknowledgments
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.
Data Access
Data Type | Download all or Query/Filter | License |
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Images and Radiation Therapy Structures (DICOM, 1.33 GB) | (Download requires the NBIA Data Retriever) |
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Detailed Description
Collection Statistics | Radiology Image Statistics |
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Modalities | CT, RTSTRUCT |
Number of Patients | 17 |
Number of Studies | 17 |
Number of Series | 51 |
Number of Images | 2672 |
Image Size (GB) | 1.33 |
Supporting Documentation and Metadata
Acquisition parameters for the phantom scans in this Collection:
Scan | Manufacturer | Model | Kernel | Type | Slice Thickness (mm) | Pixel (mm) | Spiral Pitch Factor | kVp | Effective mAs | CTDIvol (mGy) |
CCR1-GE1 | GE | Discovery CT750 HD | standard | helical | 2.5 | 0.49 | 0.98 | 120 | 81 | 6.19 |
CCR1-GE2 | GE | Discovery CT750 HD | standard | axial | 2.5 | 0.70 | 1.00 | 120 | 300 | |
CCR1-GE3 | GE | Discovery CT750 HD | standard | helical | 2.5 | 0.78 | 0.98 | 120 | 122 | 9.3 |
CCR1-GE4 | GE | Discovery ST | standard | helical | 2.5 | 0.98 | 1.35 | 120 | 143 | 16.3 |
CCR1-GE5 | GE | LightSpeed RT | standard | helical | 2.5 | 0.98 | 0.75 | 120 | 1102 | 53.6 |
CCR1-GE6 | GE | LightSpeed RT16 | standard | helical | 2.5 | 0.98 | 0.94 | 120 | 367 | 18.8 |
CCR1-GE7 | GE | LightSpeed VCT | standard | helical | 2.5 | 0.74 | 0.98 | 120 | 82 | |
CCR1-P1 | Philips | Brilliance Big Bore | B | helical | 3.0 | 0.98 | 0.94 | 120 | 320 | 17.8 |
CCR1-P2 | Philips | Brilliance Big Bore | C | helical | 3.0 | 0.98 | 0.94 | 120 | 369 | 15.8 |
CCR1-P3 | Philips | Brilliance Big Bore | B | helical | 3.0 | 1.04 | 0.81 | 120 | 320 | 19.9 |
CCR1-P4 | Philips | Brilliance Big Bore | B | helical | 3.0 | 1.04 | 0.81 | 120 | 369 | 19.9 |
CCR1-P5 | Philips | Brilliance 64 | B | helical | 3.0 | 0.98 | 0.67 | 120 | 372 | 16.4 |
CCR1-S1 | Siemens | Sensation Open | B31s | axial | 3.0 | 0.54 | 1.00 | 120 | 26 - 70 | 1.5 |
CCR1-S2 | Siemens | SOMATOM Definition Flash | ['I70f', '2'] | helical | 2.0 | 0.52 | 0.60 | 120 | 17 - 28 | |
CCR1-T1 | Toshiba | Aquilion | FC18 | helical | 3.0 | 0.63 | 1.11 | 120 | 135 | 4.0 |
CCR1-T2 | Toshiba | Aquilion | FC18 | helical | 3.0 | 0.63 | 1.11 | 120 | 135 | 3.8 |
CCR1-T3 | Toshiba | Aquilion ONE | FC18 | helical | 3.0 | 0.98 | 0.99 | 120 | 151 | 13.5 |
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Data Citation
Mackin, D., Ray, X., Zhang, L., Fried, D., Yang, J., Taylor, B., Rodriguez-Rivera, E., Dodge, C., Jones, A., & Court, L. (2017). Data From Credence Cartridge Radiomics Phantom CT Scans (CC-Radiomics-Phantom) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2017.zuzrml5b
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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 PMCID: PMC3824915
Additional Publication Resources:
The Collection authors suggest the below will give context to this dataset:
Mackin, D., Fave, X., Zhang, L., Fried, D., Yang, J., Taylor, B., Rodriguez-Rivera, E., Dodge, C., Jones, A. K., & Court, L. (2015). Measuring Computed Tomography Scanner Variability of Radiomics Features. In Investigative Radiology (Vol. 50, Issue 11, pp. 757–765). Ovid Technologies (Wolters Kluwer Health). https://doi.org/10.1097/rli.0000000000000180
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:
Fave, X., Mackin, D., Yang, J., Zhang, J., Fried, D., Balter, P., Followill, D., Gomez, D., Kyle Jones, A., Stingo, F., Fontenot, J., & Court, L. (2015). Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer? In Medical Physics (Vol. 42, Issue 12, pp. 6784–6797). Wiley. https://doi.org/10.1118/1.4934826
Other Publications Using This Data
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Version 1 (Current): Updated 2017/07/28
Data Type | Download all or Query/Filter | License |
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Images (DICOM, 1.33 GB) | (Requires NBIA Data Retriever.) |