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Currently, in
https://github.com/mind-inria/mri-nufft/blob/f5a6ba006184b96a1f73ff54be27d854797c79fe/src/mrinufft/operators/off_resonnance.py#L19-L58
we just generate the fourier_op which takes…
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inverse NUFFT, eg:
VLBI
MRI
spectral interpolation from grid to off-grid.
sphere grid to show it's not special.
Debye scattering eqn ?
etc
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I have some questions I would like to ask about the code.
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what i think is using this TDDIP methods for simulated sampling pattern (possible not for clinical application), such as the pseudo-radial sampling (Cartesian version of radom radial sampling) as in k…
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I've found a few more Fortran packages I will try to add one by one:
* [ ] Fortran processing library: http://www.biosfera.dea.ufv.br/fpl/index.html
* [ ] 2DECOMP & FFT: https://github.com/numeric…
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Hi,
I'm trying to perform on-the-fly data undersampling in my PyTorch dataset. To do this, I perform a Toeplitz NUFFT in the `__getitem__` function of my `Dataset` class. This works as expected. No…
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In some imaging modalities, like MRI and phase contrast tomography, the forward problem involves taking the Fourier transform of a function in 2D/3D that is not sampled on a grid. The current Fourier …
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This script is to allow someone to reproduce the issue described [here](https://github.com/flatironinstitute/finufft/issues/235)
## set up environment and sample data
```bash
git clone https://…
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@siatjiasen reported that PowerGridGnufft did not return a correct image when run with the 192x192x1x32 test dataset. This sounds like a the data scaling issue that has popped up with the FFT step in …
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The result of a 1D NFFT of length N and a (N,1)-dimensional NFFT are quite inconsistent.
Here is a MWE:
```
using NFFT
M = 4
x1 = collect((-Int(M/2)):(Int(M/2)-1))/M
N1 = M
p1 = NFFTPlan(x1, …