Diffusion Posterior Sampling for Nonlinear CT Reconstruction

• Published in: Proceedings of SPIE, the international society for optical engineering Vol. 12925
• Main Authors: Li, Shudong, Tivnan, Matthew, Stayman, J Webster
• Format: Journal Article
• Language: English
• Published: United States 01.02.2024

Diffusion models have been demonstrated as powerful deep learning tools for image generation in CT reconstruction and restoration. Recently, diffusion posterior sampling, where a score-based diffusion prior is combined with a likelihood model, has been used to produce high quality CT images given lo...