Summary
Data sets #1 (AP phantom) & #2 (PVP phantom): Two liver inserts, each containing 19 embedded synthetic lesions with known volumes of varying diameter (6–40 mm), shape, contrast (10–65 HU), and density (homogenous and mixed) were designed to have liver parenchyma and lesion CT values simulating arterial phase (AP phantom) and portal venous phase (PVP phantom) imaging, respectively. The two phantoms were scanned using two 64-slice multi-detector helical CT scanners (GE 750HD and Siemens Biograph mCT) across a wide range of abdominal imaging protocols, including three effective mAs (50, 100, 250), two pitches (GE/Siemens: 1.375 and 0.983/1.35 and 1.0), four slice thicknesses (GE/Siemens: 0.625, 1.25, 2.5, and 5 mm/0.6, 1.5, 3, and 5 mm), and two convolution kernels (GE/Siemens: Standard and Soft/B20f and B30f). Two repeated scans were performed for each protocol and for each phantom.
Dataset #3 (IR phantom): One non-uniform liver insert was filled with an in-house made gelatin-based background, and varied concentrations of gelatin, salt, and water were used to mimic normal liver tissue and focal fat at the arterial phase. Ten spherical lesions of five sizes (20, 14, 10, 7, and 5 mm in diameter) and two radiodensities (95 and 110 HU) were placed on the border between the fatty and normal parenchyma. The phantom was imaged with a CT scanner (GE 750HD) across a set of imaging protocols, including three effective mAs (50, 100, 250), three slice thicknesses (1.25, 2.5, and 5 mm) and five reconstruction algorithms (standard, AISR30%, AISR50%, ASIR70%, and VEO). Five repeated scans were performed for each protocol.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
This work was supported in part by a sub-award of RSNA QIBA through NIH Grant Number HHSN268201300071C. This work was also supported, in part, by a Critical Path grant from the U.S. Food and Drug Administration.
Data Access
Data Type | Download all or Query/Filter | License |
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Images (DICOM, 53.9 GB) | (Download requires the NBIA Data Retriever) |
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Detailed Description
Image Statistics | |
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Modalities | CT |
Number of Patients | 3 |
Number of Studies | 5 |
Number of Series | 684 |
Number of Images | 102,022 |
Images Size (GB) | 53.9 |
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
Zhao, B., Li, Q., Liang, Y., Yang, H., Gavrielides, M. A., Schwartz, L. H., Sullivan, D. C., & Petrick, N. A. (2021). QIBA Anthropomorphic Abdominal Phantom CT Scans [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/TCIA.RMV0-9Y95
PVP and AP Publication Citation
Li, Q., Liang, Y., Huang, Q., Zong, M., Berman, B., Gavrielides, M. A., Schwartz, L. H., Zhao, B., & Petrick, N. (2016). Volumetry of low-contrast liver lesions with CT: Investigation of estimation uncertainties in a phantom study. Medical Physics, 43(12), 6608–6620. https://doi.org/10.1118/1.4967776
IR Publication Citation
Li, Q., Berman, B. P., Schumacher, J., Liang, Y., Gavrielides, M. A., Yang, H., Zhao, B., & Petrick, N. (2017). The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom study. In S. G. Armato & N. A. Petrick (Eds.), Medical Imaging 2017: Computer-Aided Diagnosis. SPIE. https://doi.org/10.1117/12.2255743
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. Journal of Digital Imaging, 26(6), 1045–1057. https://doi.org/10.1007/s10278-013-9622-7
Other Publications Using This Data
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Version 1 (Current): 2021/04/27
Data Type | Download all or Query/Filter |
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Images (DICOM, 53.9 GB) | (Download requires the NBIA Data Retriever) |