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  • Pediatric Chest/Abdomen/Pelvic CT Exams with Expert Organ Contours (Pediatric-CT-SEG)

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Summary

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:

Data Access

Data TypeDownload all or Query/Filter

Images and Radiation Therapy Structures (DICOM, XX.X GB)

   

(Download requires the NBIA Data Retriever)

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

Detailed Description

Image Statistics


Modalities


Number of Patients

358

Number of Studies


Number of Series


Number of Images


Images Size (GB)15

Citations & Data Usage Policy

Users of this data must abide by the TCIA Data Usage Policy and the Creative Commons Attribution 4.0 International License under which it has been published. Attribution should include references to the following citations:

Data Citation

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Publication Citation

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Acknowledgement

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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. 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 Data

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Version X (Current): Updated yyyy/mm/dd

Data TypeDownload all or Query/Filter
Images (DICOM, xx.x GB)

   

(Requires NBIA Data Retriever.)



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