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Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:

  • This work was partly supported by the Swiss Personalized Health Network (SPHN) with the QA4IQI Quality assessment for interoperable quantitative computed tomography imaging project (DMS2445) and the IMAGINE project (2018DRI10).
  • It was also partially supported by the Swiss National Science Foundation (SNSF, grant 205320_179069), as well as the HES-SO 2022 Open Data Project Call. 

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/FilterLicense

Images & Segmentations (DICOM, 42.5 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/140312704/CT-Phantom4Radiomicsv1.tcia?api=v2



Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=CT-Phantom4Radiomics



(Download requires NBIA Data Retriever)

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Click the Versions tab for more info about data releases.

Additional Resources for this Dataset

The following external resources have been made available by the data submitters.  These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection.


Localtab
titleDetailed Description

Detailed Description

Image Statistics

Radiology Image Statistics

Modalities

CT,SEG

Number of Patients

1

Number of Studies

1

Number of Series

476

Number of Images

78,452

Images Size (GB)42.5 GB




Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia limited license policy


Info
titleData Citation

Schaer, R., Bach, M., Obmann, M., Flouris, K., Konukoglu, E., Stieltjes, B., Müller, H., Aberle, C., Jimenez del Toro, O. A., & Depeursinge, A. (2023). Task-Based Anthropomorphic CT Phantom for Radiomics Stability and Discriminatory Power Analyses (CT-Phantom4Radiomics) [Data set]. https://doi.org/10.7937/a1v1-rc66



Info
titlePublication Citation

Jimenez-del-Toro, O., Aberle, C., Bach, M., Schaer, R., Obmann, M. M., Flouris, K., Konukoglu, E., Stieltjes, B., Müller, H., & Depeursinge, A. (2021). The Discriminative Power and Stability of Radiomics Features With Computed Tomography Variations. In Investigative Radiology (Vol. 56, Issue 12, pp. 820–825). Ovid Technologies (Wolters Kluwer Health). https://doi.org/10.1097/rli.0000000000000795



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. 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

Other Publications Using This Data

The following publications are recommended by the data submitters that may be useful to researchers utilizing this collection:

  • Bach, M., Aberle, C., Depeursinge, A., Jimenez‐del‐Toro, O., Schaer, R., Flouris, K., Konukoglu, E., Müller, H., Stieltjes, B., & Obmann, M. M. (2023). 3D‐printed iodine‐ink CT phantom for radiomics feature extraction ‐ advantages and challenges. In Medical Physics. Wiley. https://doi.org/10.1002/mp.16373


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



Localtab
titleVersions

Version 1 (Current): Updated 2023/04/27

Data TypeDownload all or Query/FilterLicense

Images & Segmentations (DICOM, 42.5 GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/140312704/CT-Phantom4Radiomicsv1.tcia?api=v2



Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=CT-Phantom4Radiomics



(Download requires NBIA Data Retriever)

Tcia cc by 4