XNAT is an open source imaging informatics platform dedicated to helping you perform imaging-based research. It is developed by the Neuroinformatics Research Group at Washington University. XNAT’s core functions manage importing, archiving, processing and securely distributing imaging and related study data. Thanks to its extensibility, XNAT can be used to support a wide range of imaging-based projects.
TraIT hosts an XNAT instance to support Dutch research and infrastructure projects.
XNAT enables data access via a website (manual upload and download), via the DICOM protocol and via an application programming interface (API), which makes it flexible. Furthermore, XNAT stores not only the images, but also image-derived information, such as annotations and processed versions of the images. It is therefore of interest for the more advanced, technically oriented researchers, and for large studies which require automated image analysis.
In this tutorial you will learn:
- how to navigate the web interface,
- how data is organized in XNAT,
- how to upload dicom data to XNAT via the web interface,
- about access management,
- how to view images from the web interface
- how to use the RESTful programmatic interface
- (optionally) how to run a simple analysis pipeline using data from XNAT