Info

XNAT

The Extensible Neuroimaging Archive Toolkit

XNAT is a service provided by the TraIT - Health-RI for archiving, viewing and analysing clinical imaging data.

XNAT is an open source imaging informatics platform developed by the Neuroinformatics Research Group at Washington University. It facilitates common management, productivity, and quality assurance tasks for imaging and associated data.

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.

 

A short introduction on its use is given on http://xnat.bigr.nl.

You can request a temporary training environment via the TraIT XNAT training page.

More documentation about XNAT can be found on:

http://xnat.org

https://wiki.xnat.org/display/XNAT16/Home

 

 

Through the XNAT Gateway many viewers can interface with XNAT. These include popular viewers such as Osirix and 3D Slicer. For more information on these capabilities see http://xnat.bigr.nl/index.php/Xnat:Viewing

 

For the pricing model of XNAT, please read here.

 

To setup XNAT for your study, please follow the implementation steps.

 

XNAT frontend

 

Supported by

Erasmus MC logoEuroBioImaging logo

Current version and release notes

XNAT 1.6.4 (Release notes)

References

XNAT:
Marcus DS, Olsen T, Ramaratnam M, Buckner RL: The Extensible Neuroimaging Archive Toolkit (XNAT): An informatics platform for managing, exploring, and sharing neuroimaging data. Neuroinformatics. 2007, 5 (1): 11-34
http://link.springer.com/article/10.1385%2FNI%3A5%3A1%3A11

XNAT.bmia.nl:
Klein S, Vast E, van Soest J, Dekker A, Koek M, Niessen W: XNAT imaging platform for BioMedBridges and CTMM TraIT. Journal of Clinical Bioinformatics. 2015, 5(Suppl 1): S18
http://jclinbioinformatics.biomedcentral.com/articles/10.1186/2043-9113-5-S1-S18

About BMIA.nl (in Dutch):
Dekker A, van Soest J, Klein S, Hoekstra R, Groot P, Vast E, Huguet J, Niessen WJ, Boiten J-W, van der Lugt A: BMIA – nationaal biomedisch imaging archief voor onderzoek. MemoRad. 2015, 2: 7-10
https://www.radiologen.nl/publicaties/memorad-2015-2