Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT
Reconstruction
Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT
Reconstruction
Low-dose computed tomography (LDCT) plays a vital role in clinical applications by mitigating radiation risks. Nevertheless, reducing radiation doses significantly degrades image quality. Concurrently, common deep learning methods demand extensive data, posing concerns about privacy, cost, and time constraints. Consequently, we propose a few-shot low-dose CT reconstruction method using Partitioned …