TCIA contains a wealth of image data, supporting non-image data, and descriptive information which provides context about the potential utility of each data set. For users who are new to the archive they may wish to start by browsing the available data sets on the home page or the Collections wiki page. This is where you can learn about intended purpose of each data set and gain an understanding about what is available in TCIA. Once you have reviewed the available data you can search the archive in order to locate and download image data. The Cancer Imaging Archive User’s Guide provides detailed information on the many features available in the archive. If you’d like to speak with a member of our support team additional help is available from the TCIA Helpdesk.
Registration was initially required for all users, but it is now possible to search the publicly accessible data without registration. Some restricted-access data sets and certain advanced functionality of TCIA still requires logging in with your own user account. Features that require login include the ability to create or modify Shared Lists and Saved Queries. A list of available data sets and their access levels can be found on the Collections wiki page.
Using TCIA Digital Object Identifiers (DOIs)
A DOI service has been created for researchers who would like to easily share specific TCIA data sets which they have used in a publication. This service provides a special wiki page on our site dedicated to their publication which can be referenced using a permanent URL tied to their DOI (e.g. http://dx.doi.org/10.7937/K9/TCIA.2014..ua0JGpDg). This DOI URL can then be included in the publication to provide single-click access where readers can easily download the exact images and supporting metadata from TCIA without having to search the archive for it manually.
Using the TCIA programmatic Interface
TCIA now also offers an Application Programming Interface (API) for all public image collections. This programmatic interface allows client applications such as image analysis and data mining software to directly access TCIA collections. The API complements the existing web interface but eliminates the need for users to visit the TCIA web pages to select and download images then upload them into their viewing and analysis applications. The TCIA Programmatic Interface is based on a middleware platform called Project Bindaas, developed by Emory University and uses REST web service technologies. For more information on the new TCIA API please refer to the Programmatic Interface Usage Guide.
A list of known applications which are leveraging the TCIA API are listed below. Please contact us if you would like to have your application added to this list: