Open lzl2040 opened 3 months ago
I don't quite understand what you mean, what you get after model sampling image_sample_complex_duo.py
is the reconstructed MRI image. Are you talking about k-space images? k-space image is obtained by MRI after inverse Fourier transform.
I don't quite understand what you mean, what you get after model sampling
image_sample_complex_duo.py
is the reconstructed MRI image. Are you talking about k-space images? k-space image is obtained by MRI after inverse Fourier transform.
Thank you for your reply. I have run 20,000 steps with batch size 2 and run image_sample_complex_duo.py
, but the reconstructed MRI image is as follows:
Is this because the training steps are not enough? I find that the loss is already very small.
I don't think so. I think you've entered the data in the wrong format.
When I downloaded the fastMRI dataset from the OneDrive, I followed readme.md
to first run data_process.py
, then run image_train.py
.
I know where you are wrong, you should have misunderstood my data_process.py
code, the comment code misled you. I now re-update the code, you can re-download this code to try again.
Thank you so much!
In
image_sample_complex_duo.py
, the amplitude of the frequency is saved as a picture. Could you tell me how to get the reconstructed MRI image? Is it the inverse Fourier transform ofsample2
? Thank you!