Comments (2)
mmuckley
commented on May 22, 2024
1
Hello @ajlok3, should be fixed by PR #23. This was an incredibly weird bug that was caused by me applying unsqueeze to the scaling coefficients. The unsqueeze actually isn't necessary, and the bug seems to have been fixed by removing it.
I've just released an update - I think you can get it by pip install --upgrade torchkbnufft. Let me know if you still have the issue.
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ajlok3
commented on May 22, 2024
Hi @mmuckley,
Thank you so much! It works now!
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Related Issues (20)
- Turn off complex tensors completely HOT 3
- Thread allocation issues with batched density compensation HOT 11
- Basic KB-NUFFT Example HOT 6
- Failed for 3D non-Cartesian trajectory
- MriSenseNufft, AdjMriSenseNufft, AdjKbNufft, ToepSenseNufft removed
- Deprecation warning and shutdown HOT 3
- Accuracy for numpoints = 2 - 7
- nonuniform discrete Fourier transform of type II HOT 4
- grid_size HOT 3
- Make compatible with latest PyTorch HOT 7
- data range changed after processing HOT 4
- KB-NUFFT hangs when used in PyTorch DataLoader with num_workers > 0 HOT 3
- Allow user control of threading
- Could you give an example of implementing a two-dimensional Fourier transform by use torchkbnufft?
- Performance vs FFT HOT 6
- Toeplitz Kernel has boundary artifacts HOT 9
- Support for NFFTs of real valued Arrays HOT 6
- Basic 1D case
- Batched input with varying size leads to TorchScript error HOT 2
- KbInterpAdjoint gives mismatch results? HOT 3
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