Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction

Understand

Most existing MRI reconstruction methods perform tar-geted reconstruction of the entire MR image without tak-ing specific tissue regions into consideration.

• This may fail to emphasize the reconstruction accuracy on im-portant tissues for diagnosis.
• 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.
• In addition, a diffusion process can converge more quickly if its target distribution closely resembles the noise distri-bution in the process.