Complex diffusion (CD)Gaussian noiseThe computed tomography (CT) is considered as a significant imaging tool for the clinical diagnosis. Due to the low-dose radiation in the CT, the projection data is highly affected by the Gaussian noise. Thus, there is a demand of a framework that can ...
Our method leverages the diffusion model, a powerful generative model. We begin by training a cascaded unconditional diffusion model capable of generating high-quality normal-dose CT images from low-resolution to high-resolution. The cascaded architecture makes the training of high-resolution diffusion ...
2024/07 SAD Structure-aware diffusion for low-dose CT imagingWenchao Du, HuanHuan Cui, LinChao He, Hu Chen, Yi Zhang, Hongyu Yang IOP2024 Paper/ 2024/06 PFGDM Prior frequency guided diffusion model for limited angle (LA)-CBCT reconstructionJiacheng Xie, Hua-Chieh Shao, Yunxiang Li, You ...
ChemInform Abstract: DIFFUSION AND SEGREGATION OF LOW-DOSE IMPLANTED BORON IN SILICON UNDER DRY OXYGEN AMBIENTdiffusion in solidsNois available for this article.doi:10.1002/chin.198237009MIYAKE, M.HARADA, H.WILEY‐VCH Verlag GmbHCheminform
However, for low-dose PET imaging, existing diffusion models failed to generate consistent 3D reconstructions, unable to generalize across varying noise-levels, often produced visually-appealing but distorted image details, and produced images with biased tracer uptake. Here, we develop DDPET-3D, a ...
This study develops an improved Feldkamp–Davis–Kress (FDK) reconstruction algorithm using non-local total variation (NLTV) denoising and a cubic B-spline interpolation-based backprojector to enhance the image quality of low-dose cone-beam computed tomography (CBCT). The NLTV objective function is...
Comparison of PET-CT and magnetic resonance diffusion weighted imaging with body suppression (DWIBS) for initial staging of malignant lymphomas AbstractObjective To evaluate the clinical impact of diffusion-weighted whole-body imaging with background body signal suppression (DWIBS) in staging of ma......
The study introduced an innovative framework based on generative adversarial networks for reconstructing low-dose PET images. In addition, we proposed a diffusion generator which can generate higher quality reconstructed images, which can be more approached to full-dose PET images. The final experimental...
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model - yqx7150/EASEL
Noise reduction by projection direction dependent diffusion for low dose fan-beam x-ray computed tomography We propose a novel method to reduce the noise in fan-beam computed tomography (CT) imaging. First, the inverse Radon transform is induced for a family of d... S Tang,X Mou,Y Zhang,...