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[MRM'21] Complementary Time-Frequency Domain Network for Dynamic Parallel MR Image Reconstruction. [MICCAI'19] k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations

License: MIT License

Python 100.00%
deep-learning mri-reconstruction

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kt-dynamic-mri-reconstruction's Issues

About the undersampling rate

First of all, thanks for such great work! And I have a question about data used in this work.

In the paper "k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations", you state that "The undersampling rate mentioned is stated with respect to the matrix size of the data, which is 192 ร— 190." in section 3.1. And as stated in the paper, the undersampling is done retrospectively after zero-padding the matrix size to 256x256, in other words, the original sampling matrix size is 192x190, but the undersampling is done to a 256x256 matrix. So what is the exact definition of "undersampling rate" here? Since the full sampling matrix and undersampled matrix have different matrix size, I think the definition is not straightforward.

Hoping for your reply! Thanks!

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