Summary
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This dataset was collected by a collaboration of researchers from Children’s Wisconsin, Marquette University, Varian Medical Systems, Medical College of Wisconsin, and Stanford University as part of a project funded by the National Institute of Biomedical Imaging and Bioengineering (U01EB023822) to develop tools for rapid, patient-specific CT organ dose estimation. The collection consists of CT images in DICOM format of 358 pediatric chest-abdomen-pelvis or abdomen-pelvis exams acquired from three CT scanners at Children’s Wisconsin. Each dataset contains expert contours of twenty-nine structures in DICOM RTSS format, although some of the younger datasets may be missing structures for organs that could not be reliably identified. Patient ages range from 5 days to 17 years, with a mean age of 9 and with an equal distribution of male and female patients. The CT acquisition protocols and reconstruction methods vary across the scanner models and patient sizes, with specifications available in the DICOM headers. This data can be used to develop autosegmentation methods for radiation therapy, CT dosimetry, CT diagnostic algorithms, or other applications. |
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
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title | Data Access |
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| Data AccessData Type | Download all or Query/Filter |
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Images , Segmentations, and Radiation Therapy Structures /Doses/Plans (DICOM, XX.X GB)<< latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >> | (Download requires the NBIA Data Retriever) | Tissue Slide Images (SVS, XX.X GB) | Tcia button generator |
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| Clinical data (CSV) | Tcia button generator | Genomics (web |
Click the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net with any questions regarding usage. |
Localtab |
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title | Detailed Description |
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| Detailed DescriptionImage Statistics |
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| Number of Patients | 358 | Number of Studies |
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| Images Size (GB) | 15 |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Tcia license 4 international |
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| DOI goes here. Create using Datacite with information from Collection Approval form |
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title | Publication Citation |
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| We ask on the proposal form if they have ONE traditional publication they'd like users to cite. |
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| Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal. |
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| Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA 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 |
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| Version X (Current): Updated yyyy/mm/ddData Type | Download all or Query/Filter |
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Images (DICOM, xx.x GB) | Clinical Data (CSV | Link | Other (format) | Tcia button generator |
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