Low‐dose CT imaging using a regularization‐enhanced efficient diffusion probabilistic model

Abstract

Low‐dose CT (LDCT) imaging reduces patient radiation exposure but introduces elevated noise levels that degrade image quality and undermine downstream clinical tasks such as diagnosis and quantitative analysis. Existing denoising approaches often require extensive diffusion steps that impede real‑time clinical applicability.