TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method

arXiv:2402.11274v1 Announce Type: cross
Abstract: Recently, diffusion models have gained significant attention as a novel set of deep learning-based generative methods. These models attempt to sample data from a Gaussian distribution that adheres to a target distribution, and have been successfully adapted to the reconstruction of MRI data. However, as an unconditional generative model, the diffusion model typically disrupts image coordination because of the consistent projection of data introduced by conditional bootstrap. This often results in image fragmentation and incoherence. …

arxiv cs.cv cs.lg diffusion diffusion model eess.iv mri texture type unet