If you're just getting started with XNAT for the first time, you may find this quick reference document helpful. If this is not your first time, you might want to skip ahead to our updated Installation Guide or our Admin Documentation.
What is XNAT?
XNAT is an open source imaging informatics platform developed by the Neuroinformatics Research Group at Washington University. XNAT was originally developed in the Buckner Lab at Washington University, now at Harvard University. It facilitates common management, productivity, and quality assurance tasks for imaging and associated data. Thanks to its extensibility, XNAT can be used to support a wide range of imaging-based projects.
Read more about XNAT...
What's new in XNAT 1.7?
Most of the user interface will look and feel similar to users who are familiar with XNAT 1.6.5. But under the hood? A whole lot has changed, for the better, including:
Radically simplified build process
Updated Admin UI
Support for Automation and Container Services
Read more about what's new...
How Do I Install XNAT?
Thanks to our updated build process, there is now immense flexibility and control in how you can install XNAT. Here are two of the simplest ways.
If you are upgrading from XNAT 1.6.x, this should be fairly straightforward. If you are upgrading from an older version of XNAT, you may want to contact us.
Common XNAT Configurations
There are several common configurations for XNAT, based on common use cases. We have documented these, but if your use case is unique, you might want to bring it up in the XNAT Community Discussion Group.
XNAT for single-project use
XNAT for large-scale institutional use
XNAT for multi-site studies
XNAT for clinical trials
XNAT for public data sharing
There are several places you can turn to if you have questions.