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Investigators at the Mayo Clinic, with funding from the National Institute of Biomedical Imaging and Bioengineering (EB 017095 and 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 (1), 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 standardized format. Reconstructed images, patient age and gender, and pathology annotation are also provided for these de-identified data sets. The library consists of scans from various exam types, including non-contrast head CT scans acquired for acute cognitive or motor deficit, low-dose non-contrast chest scans acquired to screen high-risk patients for pulmonary nodules, and contrast-enhanced CT scans of the abdomen acquired to look for metastatic liver lesions. |
Acknowledgements
This work would not have been possible without the support and efforts of many individuals and organizations.
- A complete list of acknowledgements can be found here.
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Tcia head license access |
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Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever . Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.
(Requires NBIA Data Retriever.)
Images (DICOM, 2.0 GB) - Phantom Object Only
Matlab DICOM-CTPD data dictionary (.txt)
Click the Versions tab for more info about data releases.
Important information about the GE patient cases (included in Version 1, not currently available).
An incorrect value was found in the RescaleIntercept DICOM tag (0028,1052) in the GE data. Additionally, we have been asked by users to determine and add PhotonStatistics values to DICOM tag (7033,1065). Hence, access to the GE data (149 cases) has been temporarily suspended while we address these issues.
- If you have already downloaded the GE data, you will want to download the updated data when it is again available.
- The GE data are readily recognized, as they have only 3 series per patient case (Siemens data have 4).
- The GE data can also be identified using the DICOM tag (0008,0070).
- If you have already started a project with the GE data, please contact the Mayo team to discuss the issues in greater detail to discern if they impact your work. Please send your inquiry to CTCIC@mayo.edu and the team will follow up with you.
September 21, 2021:
The 2016 Low Dose CT Grand Challenge, sponsored by the AAPM, NIBIB, and Mayo Clinic, used 30 contrast-enhanced abdominal CT patient scans, 10 for training and 20 for testing. Thirteen of the 20 testing datasets from the Grand Challenge were subsequently included in this larger collection of CT image and projection data (TCIA LDCT-and-Projection-data). Because of the frequency of requests received by Mayo and the AAPM for the complete 2016 Grand Challenge dataset, all 30 cases have been updated to use the same projection data format as used for the TCIA data library and made publicly available in a single location. Please refer to the READ ME file at that location for a mapping between the case ID numbers used in the 2016 Grand Challenge and the case ID numbers used in the TCIA library for the 13 cases that exist in both libraries.
Additional information about the 2016 Low Dose CT Grand Challenge can be found on the AAPM website and in the Medical Physics paper by McCollough et al.
Acknowledgements
This work would not have been possible without the support and efforts of many individuals and organizations.
- A complete list of acknowledgements can be found here.
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