RSNA 2018 News

Facebook, NYU release MRI dataset for AI

By staff writers
November 29, 2018

The radiology department at the New York University (NYU) School of Medicine has released a large-scale MRI dataset as part of fastMRI, a collaborative effort with Facebook AI Research (FAIR) to speed up MRI scans with artificial intelligence (AI).

The dataset includes more than 1.5 million anonymous MR images of the knee, taken from 10,000 scans, in addition to raw measurement data from nearly 1,600 scans.

The release is the latest phase of a collaboration between the school's Center for Advanced Imaging Innovation and Research and FAIR. The goal is to share open-source tools and spur the development of AI systems to make MRI scans 10 times faster.

The collaboration will promote research reproducibility and provide evaluation methods, according to the university. The joint team will also provide a suite of tools, including baseline metrics to compare results and also a leaderboard to keep track of progress as part of an organized challenge to be announced in the near future.

Is Facebook useful for mammography screening education?
Facebook may be a useful tool for communicating with women about screening mammography, according to a study published online October 29 in Public...
Facebook, NYU feel need for MRI speed with AI
Can less really be more in MRI? Facebook and New York University (NYU) intend to find out with the launch of fastMRI, a collaborative project that aims...
NYU gets NIH grants to study dose, image analytics
NYU Langone Medical Center in New York City said it has received two grants totaling $3.5 million from the U.S. National Institutes of Health (NIH) earmarked...

Copyright © 2018