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

F. Knoll, Jure Zbontar, Anuroop Sriram, Matthew Muckley, M. Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, H. Chandarana, Zizhao Zhang, Michal Drozdzalv, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, N. Yakubova, Erich Owens, C. L. Zitnick, M. Recht, D. Sodickson, Y. Lui

2020.1.29Radiology-Artificial Intelligence

DOI: 10.1148/ryai.2020190007

tlooto Summary

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.

Abstract

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.

Citation format

KNOLL, F., et al. Fastmri: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning. Radiology-Artificial Intelligence, 2020, 2 1: e190007.