WebFeb 3, 2024 · No-reference denoising of low-dose CT projections. Low-dose computed tomography (LDCT) became a clear trend in radiology with an aspiration to refrain from … WebFeb 1, 2024 · Computed tomography (CT) is widely used in medical diagnosis and non-destructive detection. The aim of a CT reconstruction algorithm is to accurately recover the linear attenuation coefficient from projection data (Yinsheng et al 2024, Shan et al 2024).Researchers have proposed many methods to accurately reconstruct images under …
Low-dose CT image and projection dataset - PubMed
WebOct 14, 2024 · DOI: 10.1117/12.2634939 Corpus ID: 252963095; CoCoDiff: a contextual conditional diffusion model for low-dose CT image denoising @article{Gao2024CoCoDiffAC, title={CoCoDiff: a contextual conditional diffusion model for low-dose CT image denoising}, author={Qi Gao and Hongming Shan}, journal={Developments in X-Ray Tomography XIV}, … WebSep 8, 2024 · Low-dose CT (LDCT) imaging attracted a considerable interest for the reduction of the object's exposure to x-ray radiation. In recent years, supervised deep learning (DL) has been extensively studied for LDCT image reconstruction, which trains a network over a dataset containing many pairs of normal-dose and low-dose images. nj dmv egg harbor township
Patient CT Projection Data Library CT Clinical Innovation Center
WebMay 1, 2024 · Low-dose CT (LDCT) imaging attracted a considerable interest for the reduction of the object's exposure to X-ray radiation. In recent years, supervised deep … WebFeb 7, 2024 · We generated 721 high-dose projections (P) from 0 to 180 degrees by applying a Radon transform to the object (Fig. 1(b)) and then added Gaussian noise (5% to 30%) to simulate low dose measurements ... WebFeb 20, 2024 · Here we present TomoGAN, a novel denoising technique based on generative adversarial networks, for improving the quality of reconstructed images for low-dose imaging conditions, as at smaller... nursing home food plan