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  • Low Dose CT Image and Projection Data (LDCT-and-Projection-data)

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Summary

Lack of access to projection data from patient CT scans is a major limitation for development and validation of new reconstruction algorithms. To meet this critical need, we are building a library of CT patient projection data in an open and vendor-neutral format, DICOM-CT-PD, which is an extended DICOM format that contains sinogram data, acquisition geometry, patient information, and pathology identification. The library consists of scans of various types, including head scans, chest scans, abdomen scans, electrocardiogram (ECG)-gated scans, and dual-energy scans. For each scan, three types of data are provided, including DICOM-CT-PD projection data at various dose levels, reconstructed CT images, and a free-form text file. Several instructional documents are provided to help the users extract information from DICOM-CT-PD files, including a dictionary file for the DICOM-CT-PD format, a DICOM-CT-PD reader, and a user manual. Radiologist detection performance based on the reconstructed CT images is also provided. So far 328 150 head cases, 228 150 chest cases, and 228 150 abdomen cases have been collected for potential inclusion. The final library will include a selection of 50 head, chest, and abdomen scans each from at least two different manufacturers, and a few ECG-gated scans and dual-source, dual-energy scans. It will be freely available to academic researchers, and is expected to greatly facilitate the development and validation of CT reconstruction algorithms.

Projection data from patient CT scans, especially those with known pathology, are essential to the development and validation of new reconstruction algorithms. However, the patient projection data collected from commercial CT scanners are proprietary, which means researchers need research agreements with CT vendors to access the data; the projection data collected from commercial CT scanners are also vendor-specific, which means each CT vendor stores the projection data in its own format (the geometries used to store the projection images and the acquisition parameters, the unit used to store the acquisition parameters, and the precision and range of the numerical values might all differ from vendor to vendor).

To allow more researchers to access patient CT projection data with minimum efforts, a library of CT patient projection data is being built and will be freely available to academic researchers. The projection data in the library were decoded from commercial CT scans, and have been converted into an open and standard format.

Excerpt

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Localtab
activetrue
titleData Access

Data Access

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Localtab
titleDetailed Description

The scan data is composed of scans of five types, including routine non-contrast-enhanced head scans, low dose non-contrast-enhanced chest scans for lung nodule screening, routine contrast-enhanced abdomen scans, ECG-gated scans, and dual-energy scans. For each scan, three types of data are provided: projection data, reconstructed CT images, and a free-form text file. The projection data were acquired on third generation CT scanners from two major vendors (Somatom Definition Flash, Siemens Healthcare, Forchheim, Germany; and Discovery CT750 HD, GE Healthcare, Waukesha, WI). Because the commercial projection data were in a proprietary format and could not be accessed directly, they were decoded with the assistance of the vendors and converted into an open and vendor-neutral format, DICOM-CT-PD [1]. The DICOM-CT-PD format is an extended DICOM format, which stores the projection data as a DICOM image and stores other important information (acquisition geometry, patient information, and pathology identification) in a DICOM header with newly defined private tags. The accuracy and completeness of the DICOM-CT-PD format have been previously validated by off-line reconstructions. More information about the format can be found in [1]. In addition to projection data acquired at regular clinical dose levels, projection data at reduced dose levels are also provided, which were simulated by inserting noise into the regular dose projection data using a verified technique [2]. The reconstructed CT images are provided along with the projection data as a reference. For the projection data collected on Siemens scanners, all reconstructions were performed on the scanner console. For the projection data collected on GE scanners, the reconstructions of the regular dose level data were performed on the scanner console and the reconstructions of the reduced dose level data were performed off-line. 

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titleCitations & Data Usage Policy

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These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:

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titleData Citation

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titleAcknowledgement



Info
titleTCIA 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

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titleVersions

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