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the most widely-used informatics platform for imaging research
XNAT is an open-source imaging informatics software platform dedicated to helping you perform imaging-based research. XNAT’s core functions manage importing, archiving, processing and securely distributing imaging and related study data. But its extended uses continue to evolve.
Create a centralized data management resource to support multiple investigators and research studies. How many? As many as you need. (A single XNAT at Washington University in St Louis currently supports 800 separate projects with 16,000 subjects and 20,000 imaging sessions, and is steadily growing.)
Enable the translation of research findings to clinical practice by using a single XNAT system to store both clinical imaging and assessments alongside your research projects.
Use XNAT’s flexible image importing, built-in reporting, data oversight and quality assurance functions to aggregate data from multiple far-flung research sites. Without tearing your hair out in the process.
Choose the size of your megaphone, and broadcast your data. Use XNAT for sharing data selectively among collaborators, or publicly to the world at large.
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.
Modular Extensibility: Expand the capabilities of your XNAT to meet your needs.
Developer Community: Benefit from an active and engaged set of XNAT power users.
XNAT is an open source project produced by the NRG Lab at the Washington University School of Medicine | NRG Home
Contributions to the XNAT Documentation site are licensed under a Creative Commons Attribution 3.0 Unported License.
XNAT developers proudly use software from
and
to make XNAT awesome.