facebookresearch/fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.
ArchivedProvides PyTorch data loaders, k-space subsampling functions, and evaluation metrics alongside baseline implementations (U-Net, VarNet) for accelerated MRI reconstruction from undersampled measurements. Supports both raw k-space data and reconstructed DICOM images across knee, brain, and prostate anatomies, with PyTorch Lightning modules for streamlined training pipelines. Includes reference implementations from published methods spanning reconstruction networks, artifact correction, and active acquisition strategies.
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Jan 21, 2025
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