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FastMRI

Fast and accurate reconstruction of magnetic resonance (MR) images from under-sampled data is important in many clinical applications. In recent years, deep learning-based methods have been shown to produce superior performance on MR image reconstruction. However, these methods require large amounts of data which is difficult to collect and share due to the high cost of acquisition and medical data privacy regulations.

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Cite this as

F. K. Zbontar, K. Hammernik, M. Lustig, M. Jacob (2024). Dataset: FastMRI. https://doi.org/10.57702/0pzii9bm

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2103.02148
Citation
  • https://doi.org/10.48550/arXiv.2011.02322
  • https://doi.org/10.48550/arXiv.2212.01878
Author F. K. Zbontar
More Authors
K. Hammernik
M. Lustig
M. Jacob
Homepage http://mridata.org/