fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

11/21/2018
by   Jure Žbontar, et al.
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Accelerating Magnetic Resonance Imaging (MRI) by taking fewer measurements has the potential to reduce medical costs, minimize stress to patients and make MRI possible in applications where it is currently prohibitively slow or expensive. We introduce the fastMRI dataset, a large-scale collection of both raw MR measurements and clinical MR images, that can be used for training and evaluation of machine-learning approaches to MR image reconstruction. By introducing standardized evaluation criteria and a freely-accessible dataset, our goal is to help the community make rapid advances in the state of the art for MR image reconstruction. We also provide a self-contained introduction to MRI for machine learning researchers with no medical imaging background.

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Code Repositories

fastMRI

A large-scale dataset of both raw MRI measurements and clinical MRI images.


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MRAugment

MRAugment: physics-aware data augmentation for deep learning based accelerated MRI reconstruction


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fast_MRI

Self-Supervised MRI Reconstruction


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