RSNA announces COVID-19 imaging data repository

RSNA announces COVID-19 imaging data repository

Press releases may be edited for formatting or style | March 31, 2020 CT X-Ray
OAK BROOK, Ill. (March 30, 2020) — The medical imaging community around the world is uniting to help address the COVID-19 pandemic. The Radiological Society of North America (RSNA) continues to build on its extensive body of COVID-19 research and education resources, announcing a new initiative to build a COVID-19 Imaging Data Repository.

The open data repository will compile images and correlative data from institutions, practices and societies around the world to create a comprehensive source for COVID-19 research and education efforts. The image hosting, annotation and analysis framework will enable researchers to understand epidemiological trends and to generate new AI algorithms to assist with COVID-19 disease detection, differentiation from other pneumonias and quantification of lung involvement on CT for prognosis or therapy planning.

“RSNA is committed to accelerating collaborative research and education on the uses of medical imaging to address diagnosis and imaging-based treatment of COVID-19,” said Curtis P. Langlotz, M.D., Ph.D., RSNA Board Liaison for Information Technology and Annual Meeting. “Because RSNA is a leader in connecting radiologists around the world, we have received a wave of requests from organizations interested in sharing imaging data, as well as from individuals and organizations seeking access to such data for research and education.”

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In response to these requests, RSNA is today releasing a survey for representatives of radiology organizations that may be willing to share COVID-19-related imaging data. The survey will help RSNA collect all available resources into a unified repository for international COVID-19 imaging research and education efforts.

This initiative builds on RSNA’s long history of enabling image data sharing, research and technologic innovation. For more than 20 years, RSNA has sponsored the development and implementation of data standards, including DICOM, IHE, RadLex, Image Share and QIBA. In the past few years, RSNA has helped accelerate research into the application of artificial intelligence (AI) in medical imaging by collecting and labeling data and organizing competitions that engage thousands of teams to test the ability of AI systems to perform clinically relevant tasks.

Like those efforts, the success of the COVID-19 Imaging Data Repository will depend on collaboration with many other interested organizations. Today, RSNA is announcing an agreement to collaborate closely with the European Imaging COVID-19 AI initiative, supported by the European Society of Medical Imaging Informatics.

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