fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.
MIT License
This update includes a suite of bug fixes.
- Fix for
apply_maskfunction with single coil data (PR #255) - New filter function feature for filtering contrasts with a
SliceDataset(PR #257). - Fix for
AnnotatedSliceDatasetannotation 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
Published by mmuckley over 2 years 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
Published by mmuckley over 3 years ago
- Includes a fix for packaging that removes
fastmri_examplesfrom distributed sources. (#145). - Updates the FFT API to allow the user to adjust normalizations (#146).
Published by mmuckley over 3 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.
