fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.

Radiol Artif Intell

Department of Radiology, NYU School of Medicine, 650 First Ave, New York, NY 10016 (F.K., M.J.M., M.B., M.P., K.J.G., J.K., H.C., D.W., N.Y., M.P.R., D.K.S., Y.W.L.); Department of Artificial Intelligence Research, Facebook, Menlo Park, Calif (J.Z., A.S., J.P., E.O., C.L.Z.); Department of Artificial Intelligence Research, Facebook, New York, NY (A.D.); Center for Data Science, New York University, New York, NY (K.J.G.); Department of Artificial Intelligence Research, Facebook, Montreal, Canada (M.D., A.R., M.R., P.V.); and Department of Computer Science, University of Florida, Gainesville, Fla (Z.Z.).

Published: January 2020

A publicly available dataset containing k-space data as well as Digital Imaging and Communications in Medicine image data of knee images for accelerated MR image reconstruction using machine learning is presented.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6996599PMC
http://dx.doi.org/10.1148/ryai.2020190007DOI Listing

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