K-space Cold Diffusion: Learning to Reconstruct Accelerated MRI without Noise

arXiv:2311.10162v2 Announce Type: replace-cross
Abstract: Deep learning-based MRI reconstruction models have achieved superior performance these days. Most recently, diffusion models have shown remarkable performance in image generation, in-painting, super-resolution, image editing and more. As a generalized diffusion model, cold diffusion further broadens the scope and considers models built around arbitrary image transformations such as blurring, down-sampling, etc. In this paper, we propose a k-space cold diffusion model that performs image degradation and restoration in k-space without the need for Gaussian …

abstract arxiv cs.cv cs.lg deep learning diffusion diffusion model diffusion models editing eess.iv generalized image image generation mri noise painting performance physics.med-ph space type