- Created by Geri Blake on Apr 24, 2019
You are viewing an old version of this page. View the current version.
Compare with Current View Page History
Version 1 Next »
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 head cases, 228 chest cases, and 228 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.
Put Collection Abstract here. Column L of the TCIA New Collection ProposalAcknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
Hospital/Institution Name city, state, country - Special thanks to First Last Names, degree PhD, MD, etc from the Department of xxxxxx, Additional Names from same location.
- Continue with any names from additional submitting sites if collection consists of more that one.
Data Access
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.
Data Type | Download all or Query/Filter |
---|---|
Images (DICOM, XX.X GB) |
|
Supplemental Data (format) |
Click the Versions tab for more info about data releases.
Detailed Description
Image Statistics | |
---|---|
Modalities | |
Number of Patients | |
Number of Studies | |
Number of Series | |
Number of Images | |
Images Size (GB) |
Add any additional information as needed below. Likely would be something from site.
Citations & Data Usage Policy
Add any special restrictions in here.
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:
Data Citation
DOI goes here. Create using pubhub with information from Collection Approval form
Acknowledgement
TCIA 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
Other Publications Using This Data
TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.
Version X (Current): Updated yyyy/mm/dd
Data Type | Download all or Query/Filter |
---|---|
Images (DICOM, xx.x GB) | (Requires NBIA Data Retriever.) |
Clinical Data (CSV) | Link |
Other (format) |
Added new subjects.
Version 1: Updated 2018/10/24
Added new subjects.
- No labels