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Found 2 papers, 1 papers with code
Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction
In this study, leveraging a combination of the properties of k-space data and the diffusion process, our novel scheme focuses on mining the multi-frequency prior with different strategies to pre-serve fine texture details in the reconstructed image.
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging
Therefore, by taking advantage of the uni-fied framework, we proposed a k-space and image Du-al-Domain collaborative Universal Generative Model (DD-UGM) which combines the score-based prior with low-rank regularization penalty to reconstruct highly under-sampled measurements.
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