facebookresearch/fastMRI resource

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

1533 stars · 422 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

fastMRI is a large-scale dataset of raw k-space MRI measurements and clinical MRI images released by Facebook AI Research and NYU Langone Health, along with PyTorch data loaders, subsampling functions, evaluation metrics, and baseline reconstruction models. It supports research into accelerated MRI reconstruction using machine learning.

Use cases

• train deep learning models for MRI image reconstruction
• benchmark accelerated MRI reconstruction methods
• load raw k-space MRI data in PyTorch
• evaluate MRI reconstruction quality with standard metrics
• research undersampling strategies for MRI
• participate in the fastMRI challenge

When to choose

• you need large-scale raw k-space and clinical MRI data for ML research
• you want reference implementations and baselines for MRI reconstruction
• you work with PyTorch and need ready-made MRI data loaders

When to avoid

• you need a production clinical MRI reconstruction system
• you need other imaging modalities like CT or ultrasound
• you cannot accept the dataset access agreement from NYU

Facets

dataset · maturity stable

machine-learning deep-learning data-science image-processing machine-learning healthcare deep-learning data-science python mri medical-imaging mri-reconstruction pytorch kspace benchmark-dataset convolutional-neural-networks

Member repositories

For agents

markdown · JSON · MCP: product_card(name="facebookresearch/fastMRI")