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Thanks for the interest in this repo.
So basically to create a Gaussian 2d mask, you should add a function doing exactly that in the util with the masking functions (here), and then use that in the preprocessing step here for single coil (and here for multicoil).
Unfortunately I don't have the code for the Gaussian 2d mask simply because it's not physically relevant. In this repo I tried to stick to the masks that are used in the fastMRI dataset which is really the strongest benchmark in MRI reconstruction.
I would be happy to review a PR with your implementation if you want some validation but of course you can do that in your own fork without including it in this repo.
Hello,author! I have a simple question that how to create a Gauss2d mask. Could you share the code of creating a 2dgauss mask? Thanks a lot.
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