If you're just getting started with XNAT for the first time, you may find this quick reference document helpful. If not, you may want to go straight to:
You may also be interested in:
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.
If you're interested in checking out how XNAT works without having to install and configuration a full-blown server application, take a look at the XNAT Sandbox site.
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:
This guide will walk you through the steps (which are fewer than before) necessary to perform a full install of XNAT on your production system.
Step by step guide to installing the pipeline engine.
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
- Raise a question in the XNAT Community Discussion Group
- Report a bug to the XNAT JIRA
- For general questions, contact us