A diffusion model trained on single-slice MRI can reconstruct simultaneous multislice k-space data by enforcing a Slice GRAPPA consistency constraint during sampling, avoiding SMS training data.
Whereas conventional methods have an unavoidable signal-to-noise ratio(SNR) loss, the SNR in SMS scans increases by the square root of the number of slices
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K-space Diffusion Model Based MR Reconstruction Method for Simultaneous Multislice Imaging
A diffusion model trained on single-slice MRI can reconstruct simultaneous multislice k-space data by enforcing a Slice GRAPPA consistency constraint during sampling, avoiding SMS training data.