This page describes the application programming interfaces (APIs) that can be used by developers to access TCIA data and resources. The APIs complement the existing web interfaces and enable developers to build direct access to TCIA data into their applications using only the API documentation provided. The application developer must ensure that they and the users of their applications comply with the TCIA Programmatic Interface API GuidesData Usage Policy. If you are interested in using the APIs and have any questions, please contact the TCIA Help Desk except where otherwise noted.

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• DataCite Web-based API: Each Collection TCIA publishes is issued a Digital Object Identifier (DOI) through DataCite.  This API can be used to programmatically access Collection metadata such as their DOIs, titles and abstracts. Please note that this API was not developed by TCIA. See https://support.datacite.org/ for any technical questions. The TCIA Helpdesk may be able to assist if your inquiry is related to the content of the data itself.
• IDC-Index Python Package: DICOM data from TCIA is available on the Imaging Data Commons (IDC).  The IDC-Index Python Package provides an API for querying metadata and downloading imaging data held in IDC, including DICOM data provided by TCIA.  Please note that this Python Package was not developed by TCIA, though it is provided by a branch of NCI.  While the TCIA Helpdesk may be able to assist if your inquiry is related to the content of the data itself, questions about the use of the package itself should be directed to the IDC Forum.

TCIA_Utils

The tcia_utils package contains functions to simplify common tasks one might perform when interacting with The Cancer Imaging Archive (TCIA) via Python. If you are using R, please try using this package with reticulate (see example below). Issues with this package should be submitted at https://github.com/kirbyju/tcia_utils/issues. Example notebooks demonstrating tcia_utils functionality can be found at https://github.com/kirbyju/TCIA_Notebooks. 

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from tcia_utils import datacite

Using tcia_utils with reticulate in R

If you prefer R to Python, tcia_utils can be used with reticulate. Here's an example:

# install reticulate first if you haven't already
install.packages("reticulate")

# load reticulate
library(reticulate)

# install tcia_utils
py_install("tcia_utils")

# import tcia_utils
nbia <- import("tcia_utils.nbia")  # Equivalent to `from tcia_utils import nbia`

# then you can call its functions directly
results <- tcia$your_function()
print(results)

# e.g.  Equivalent to `nbia.getCollections()`
collections <- nbia$getCollections()  

TCIA Data Usage Policy