Summary<\/h2>![](\"https:\/\/wiki.cancerimagingarchive.net\/download\/attachments\/embedded-page\/Public\/Low%20Dose%20CT%20Image%20and%20Projection%20Data%20(LDCT-and-Projection-data)\/LDCT-PD%20logo.png?api=v2\")
<\/span>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.<\/p>
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.<\/p>
2016 Low Dose CT Grand Challenge<\/span><\/strong>\u00a0<\/span><\/span><\/p>The 2016 Low Dose CT Grand Challenge<\/span>, sponsored by the AAPM, NIBIB, and Mayo Clinic, used<\/span>\u00a030 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).\u00a0<\/span>Because of the frequency of requests received by Mayo and the AAPM for the complete 2016 Grand Challenge dataset, on September 21, 2021 all 30 cases were updated to use the same projection data format as used for the TCIA data library and made publicly available in a <\/span>single location<\/a>.\u00a0<\/span>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.<\/span><\/span><\/p>Additional information about the 2016 Low Dose CT Grand Challenge can be found on the\u00a0AAPM website<\/a><\/span>\u00a0<\/span>and in the\u00a0Medical Physics<\/em>\u00a0paper<\/a><\/span>\u00a0<\/span><\/span>by McCollough et al.<\/span><\/span><\/p>Acknowledgements<\/strong><\/p>This work would not have been possible without the support and efforts of many individuals and organizations.<\/p>
- A complete list of acknowledgements can be found here<\/a>.<\/li><\/ul><\/div>
<\/span>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.<\/p>
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.<\/p>
2016 Low Dose CT Grand Challenge<\/span><\/strong>\u00a0<\/span><\/span><\/p> The 2016 Low Dose CT Grand Challenge<\/span>, sponsored by the AAPM, NIBIB, and Mayo Clinic, used<\/span>\u00a030 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).\u00a0<\/span>Because of the frequency of requests received by Mayo and the AAPM for the complete 2016 Grand Challenge dataset, on September 21, 2021 all 30 cases were updated to use the same projection data format as used for the TCIA data library and made publicly available in a <\/span>single location<\/a>.\u00a0<\/span>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.<\/span><\/span><\/p> Additional information about the 2016 Low Dose CT Grand Challenge can be found on the\u00a0AAPM website<\/a><\/span>\u00a0<\/span>and in the\u00a0Medical Physics<\/em>\u00a0paper<\/a><\/span>\u00a0<\/span><\/span>by McCollough et al.<\/span><\/span><\/p> Acknowledgements<\/strong><\/p> This work would not have been possible without the support and efforts of many individuals and organizations.<\/p>