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  • Credence Cartridge Radiomics Phantom CT Scans (CC-Radiomics-Phantom)

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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 TypeDownload all or Query/FilterLicense
Images and Radiation Therapy Structures (DICOM, 1.33 GB)

   

(Download requires the NBIA Data Retriever)

Click the Versions tab for more info about data releases.

Detailed Description

Collection Statistics

Radiology Image Statistics

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:

  1. 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

  2. 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

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

Version 1 (Current): Updated 2017/07/28

Data TypeDownload all or Query/FilterLicense
Images (DICOM, 1.33 GB)
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