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Lack of access to projection data from patient CT scans is a major limitation for the development and validation of new CT reconstruction algorithms. However, patient projection data acquired using commercial CT scanners are stored in a proprietary format, requiring investigators to have research agreements in place with the CT manufacturer to be able to read the data correctly. These proprietary data formats for projection data, making it unlikely that investigators will be able to validate their algorithm on data from more than one manufacturer. To meet this critical need, researchers at the Mayo Clinic, with funding from the National Institute of Biomedical Imaging and Bioengineering (EB 017185), have built a library of CT patient projection data in an open and vendor-neutral format. This format, referred to as DICOM-CT-PD, is an extended DICOM format that contains CT projection data and acquisition geometry. The de-identified patient projection data in the library were decoded with help of the manufacturer and have been converted into an open and standard format. |
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
We would like to acknowledge the individuals and institutions that have provided data for this collection:
- Mayo Clinic, Rochester, MN
- Mayo Clinic Arizona, Scottsdale, AZ
- University of Maryland school of Medicine, Baltimore, MD
We also acknowledge the following individuals who assisted in converting their company’s proprietary data format into DICOM-CT-PD:
This work would not have been possible without the support and assistance of many additional individuals.
- NIBIB
- We have greatly valued the insightful comments and helpful suggestions from the external advisory committee and consultants from Mayo Clinic’s sub-mSv CT U01 award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) (EB 017185), the other NIBIB sub-mSv CT U01 recipients, and additional consultants.
- From Mayo Clinic’s CT Clinical Innovation Center, located within the Department of Radiology, this work would not have been possible without the skill, perseverance, and can-do attitude of the Mayo research team, including faculty, trainees, and support staff who worked together across every aspect of this project.
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