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RefineDLMRI

Improving high frequency image features of Deep Learning reconstructions via k-space refinement with null-space kernel

Accepted in Magnetic Resonance in Medicine (2022)

March 19. 2022 Kanghyun Ryu ([email protected])

This repo contains code for Refining DL reconstruction via null-space kernel.

Refinement

As can be seen in the Figure, (a) is undersampled MRI reconstruction from UNN (Unrolled Neural Network) and (b) is the proposed refinement process.

By utilizing a null-space kernel, we can correct for errors in Deep Learning's kspace estimates and refine reconstruction.

Please refer to demo.ipynb for demonstration of running the code and examples.

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refinedlmri's Issues

The range of values that refine produces changes

I tried to apply it to the reconstructed images from my model, but it seems that the refined images have changed in the range of values, which affects the PSNR evaluation somewhat. I tried to set the lambda to 1, but the range of values refined is still close to twice the original value.

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