A joint MRI reconstruction method using product-of-Gaussian-mixture diffusion models for the image prior and smoothness priors for coil sensitivities, with an improved parameterization for better denoising and reconstruction.
Medical image computing and computer-assisted intervention : MICCAI International Conference on Medical Image Computing and Computer-Assisted Intervention12906, 350–360 (2021) 43
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Product-of-Gaussian-Mixture Diffusion Models for Joint Nonlinear MRI Reconstruction
A joint MRI reconstruction method using product-of-Gaussian-mixture diffusion models for the image prior and smoothness priors for coil sensitivities, with an improved parameterization for better denoising and reconstruction.