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  • QIBA Anthropomorphic Abdominal Phantom CT Scans (QIBA-CT-Liver-Phantom)

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/Filter

Images (DICOM, 41.8 GB)


(Download requires the NBIA Data Retriever)

Click the Versions tab for more info about data releases.

Please contact help@cancerimagingarchive.net  with any questions regarding usage.


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

CT

Number of Patients

3

Number of Studies

5

Number of Series

503

Number of Images

79059

Images Size (GB)41.8



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy


Tcia license 4 international


Info
titleData Citation

DOI goes here. Create using Datacite with information from Collection Approval formZhao, 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


Info
titlePublication 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

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  

(JK, Dr. Zhao sent two citationcitations.  Can we use both or just one?)

Info
titleAcknowledgement

Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal.


Info
titleTCIA 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

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


Localtab
titleVersions

Version 1 (Current): 2021/02/dd

Data TypeDownload all or Query/Filter
Images (DICOM, 41.8 GB)

(Requires NBIA Data Retriever.)



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