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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 358 359 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. |
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We would like to acknowledge the individuals and institutions that have provided data for this collection:
The authors would like to thank Kate Bruckner, Jessica Contreras, Sean Hergenrother, Maddie Johnson, Peter Lamberton, Liz McMahon and Jadie Rezach of Marquette University for the bone contouring efforts. We would also like to thank dosimetrists Alyssa Olson and Dana Cole for the initial contour protocol evaluation and Dr. Gordan Wong for contour review. The authors also thank Lara Dyke of Varian Medical Systems for the Eclipse support. This work was funded in part by NIH U01EB023822.
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