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Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measurementshas the potential to reduce medical costs, minimize stress to patients and makeMRI possible in applications where it is currently prohibitively slow orexpensive. We introduce the fastMRI dataset, a large-scale collection of bothraw MR measurements and clinical MR images, that can be used for training andevaluation of machine-learning approaches to MR image reconstruction. Byintroducing standardized evaluation criteria and a freely-accessible dataset,our goal is to help the community make rapid advances in the state of the artfor MR image reconstruction. We also provide a self-contained introduction toMRI for machine learning researchers with no medical imaging background.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI