FastMRI Versions Save

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

v0.3.0

11 months ago

This update includes a suite of bug fixes.

  • Fix for apply_mask function with single coil data (PR #255)
  • New filter function feature for filtering contrasts with a SliceDataset (PR #257).
  • Fix for AnnotatedSliceDataset annotation versions (PR #276).
  • Fix typecast in varnet (PR #303).
  • Fix annotation metadata extraction for AnnotatedSliceDataset (PR #310).
  • Fix calculation of y location in AnnotatedSliceDataset (PR #311).

Contributors: @zaccharieramzi @NikolasMorshuis @ad12

v0.2.0

1 year ago

This release of fastMRI includes PyTorch Lightning modules for the paper On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction by Bakker et al., to be presented at the upcoming MIDL conference. A list of changes is below:

  • Add Adaptive VarNet implementation (PR #205)
  • Compatibility for fastMRI+ in SliceDataset (PR #192) - currently in beta.
  • Masking API updates (PR #167).
  • Various smaller bug fixes and improvements.

Contributors: @Timsey @luisenp @michaldrozdzal

v0.1.1

2 years ago
  • Includes a fix for packaging that removes fastmri_examples from distributed sources. (#145).
  • Updates the FFT API to allow the user to adjust normalizations (#146).

v0.1.0.post210716

2 years ago

This release does not introduce any major changes - it merely includes metadata for publishing the project on PyPI. The creation of this release also tests the GitHub release action.