ICR/RM XNAT Repository
Connecting researchers to their data
XNAT Repository at the Institute of Cancer Research and the Royal Marsden
Connecting researchers to their data
We help cancer researchers curate, annotate and share clinical data with security and peace of mind.
We can deliver image processing at scale to power high-profile research studies.
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What we do
What we do for the NHS
Find out how XNAT is helping the Royal Marsden
The ICR/RM XNAT Repository works in close partnership with the Radiology Department of the Royal Marsden Hospital and its AI Imaging Hub to help deliver improvements to standard-of-care NHS imaging. We help clinical scientists investigate new imaging methodologies that have the potential to change the scans that are given to patients, in order to deliver better information to radiologists in the clinic.
Future work is likely to include image processing based on “deep learning”, a type of artificial intelligence, that can substantially reduce scan times.
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Learn about the high-profile research studies powered by XNAT
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Our Team Members
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Testimonials
Ensuring that patients trust us to put their interests at the heart of everything we do and to use their data safely is of paramount importance.
XNAT allows me to do just that.
Prof Christina Messiou
Consultant Radiologist, Royal Marsden; Team Leader, Institute of Cancer Research
Just saw your update on the XNAT discussion group. Thank you for taking the time to identify the issue – I really appreciate all the hard work you and your team are doing to integrate the OHIF viewer into XNAT. It has become incredibly integral to our workflow as I am sure for many other sites. I cannot stress strongly enough how grateful we are to have this feature available in XNAT.
Unsolicited message from XNAT user not previously connected to ICR/RMH or NCITA
Chidi Ugonna
Research Specialist,
Department of Biomedical Engineering, University of Arizona
We have been working with the outstanding XNAT development team at ICR since 2010 and their contribution to image viewing in XNAT has been transformative for the platform. Their expertise on all aspects of oncology imaging workflows has enabled XNAT to become a cornerstone application of the cancer research community.
Prof Dan Marcus
Co-creator of XNAT
CSO Flywheel LLC
Professor of Radiology, Washington University
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Multicentre imaging trials
Connecting researchers to their data
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