NVlabs/SMRD
SMRD: SURE-based Robust MRI Reconstruction with Diffusion Models
This project helps medical imaging specialists and radiologists reconstruct high-quality MRI scans from incomplete or noisy raw data. It takes partially acquired MRI k-space data or noisy scans and produces sharper, clearer reconstructed MRI images. This is for professionals who analyze MRI scans and need accurate images for diagnosis or research.
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Use this if you need to improve the quality of MRI images that were acquired quickly, are noisy, or have missing data.
Not ideal if you are looking for a simple, out-of-the-box solution without any technical setup, as it requires familiarity with MRI reconstruction tools and data formats.
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33
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Language
Python
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Last pushed
Oct 18, 2023
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