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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:
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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.
XNAT 1.8 builds and expands on the XNAT 1.7 framework, and adds several new core features and supports new imaging research workflows.
See: What's New In 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.
Looking to play around with an XNAT before deploying it to a broad set of users? In less than fifteen minutes, you can have an XNAT up and running on your local machine.
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 1.7.x, this should be fairly straightforward. If you are upgrading from an older version of XNAT, you may want to contact us.
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 .
See: XNAT Case Studies
There are several places you can turn to if you have questions.