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gengmufeng / CNCL-denoising

Pytorch implementation of Content-Noise Complementary Learning for Medical Image Denoising.
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About the noisy generation of MRI dataset #2

Open eehuangjunchu opened 2 years ago

eehuangjunchu commented 2 years ago

"Then the slices were transformed to k-space using a three dimensional Fourier transform. A four-fold pseudo-random under-sampling scheme was applied to get the under-sampled k-space. Finally, the three dimensional inverse fast Fourier transform was deployed to retrieve the under-sampled MR slices." Can you release the code about this operations? Thanks

gengmufeng commented 2 years ago

The codes for MR data generation is provided by the coauthor, Dr. Hanjing Kong, a researcher of United Imaging Healthcare Group, Central Research Institute. We have no intention of making them public. If you still have any questions, please discuss it with Dr. Kong in private.