XNAT is a web-based open source imaging informatics platform that facilitates common management, productivity, and quality assurance tasks for imaging and associated data. It can be used to support a wide range of imaging-based research projects.

Setting up a local Docker-powered XNAT instance may be achieved easily using docker-compose and any available recipe. We recommend the one from the following repository (maintained by the XNAT team).

XNAT tools and development frameworks. NRG XNAT has 35 repositories available. Follow their code on GitHub.

What does XNAT provide? Full DICOM Integration and Anonymization: Get image data in, and keep PHI out. Secure Access & Permission Control: You decide who does what with your data. Integrated Search & Reporting: Report on your image and clinical data together. Pipeline Processing: Use the power of high-performance computing on your data.

XNAT Central is a publicly accessible medical imaging data repository based on the XNAT open-source imaging informatics platform. It hosts a wide variety of research imaging data sets. The primary motivation for creating XNAT Central was to provide a central repository to host and provide access to a wide variety of neuroimaging data.

2025年2月4日 · pyxnat is an open source, BSD-licenced library providing a programmatic interface with XNAT which is an extensible management system for imaging data (and related). pyxnat uses the RESTful Web services provided by XNAT and allows easier interaction with an XNAT server through a simple and consistent API using the Python programming language.

XNAT enables quality control procedures and provides secure ways for you to access your data and control its accessibility by your fellow researchers, and by the general public. XNAT follows a three tiered architecture that includes a data archive, user interface, and middleware engine.

Integrate XNAT with Docker, Kubernetes or an HPC. We’ve been running compute on medical images for 20 years. We can run jobs anywhere. Review your data for PHI, run automated QC workflows and use the OHIF viewer to inspect the images. We can make XNAT work for you. Join us to maximize your XNAT experience and enjoy exclusive benefits.

2021年3月5日 · Also, it's very helpful if you can check the XNAT and Tomcat logs for any entries that might help diagnose what's going on. You can find the version of your XNAT by looking in the lower-left...

Imaging data may be pulled from XNAT, WPIC-XXX@cortex (mounted gyrus /disk/mace2/scan_data), or flywheel. The imaging data is identical but the dicoms are not. XNAT puts it's own information in the header and that changes all the dicom offsets.