icon-lab/SLATER
Official implementation of the paper: Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
This tool helps medical imaging researchers reconstruct high-quality MRI scans from incomplete or 'undersampled' data. It takes raw MRI acquisition data (single-coil magnitude images or multi-coil complex HDF5 files) and outputs clearer, reconstructed MRI images. Researchers in medical imaging or radiology who work with MRI data would find this useful for improving image quality.
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Use this if you need to reconstruct MRI images from undersampled acquisition data to obtain clearer diagnostic quality images, especially from fastMRI or IXI datasets.
Not ideal if you are not a developer and are looking for a plug-and-play application with a graphical user interface, as this requires command-line execution and setup.
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Language
Python
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Last pushed
Aug 13, 2021
Commits (30d)
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