A dual-domain diffusion model for sparse-view ct reconstruction
To reduce the radiation dose, sparse-view computed tomography (CT) reconstruction has
been proposed, aiming to recover high-quality CT images from sparsely sampled sinogram …
been proposed, aiming to recover high-quality CT images from sparsely sampled sinogram …
Gradient-based geometry learning for fan-beam CT reconstruction
Objective. Incorporating computed tomography (CT) reconstruction operators into
differentiable pipelines has proven beneficial in many applications. Such approaches …
differentiable pipelines has proven beneficial in many applications. Such approaches …
Self-supervised dual-domain balanced dropblock-network for low-dose CT denoising
Objective. Self-supervised learning methods have been successfully applied for low-dose
computed tomography (LDCT) denoising, with the advantage of not requiring labeled data …
computed tomography (LDCT) denoising, with the advantage of not requiring labeled data …
Rotational Augmented Noise2Inverse for Low-Dose Computed Tomography Reconstruction
H Xu, A Perelli - IEEE Transactions on Radiation and Plasma …, 2023 - ieeexplore.ieee.org
In this work, we present a novel self-supervised method for low-dose computed tomography
(LDCT) reconstruction. Reducing the radiation dose to patients during a computed …
(LDCT) reconstruction. Reducing the radiation dose to patients during a computed …
Multi‐layer clustering‐based residual sparsifying transform for low‐dose CT image reconstruction
Purpose The recently proposed sparsifying transform (ST) models incur low computational
cost and have been applied to medical imaging. Meanwhile, deep models with nested …
cost and have been applied to medical imaging. Meanwhile, deep models with nested …
Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography
The diagnostic quality of computed tomography (CT) scans is usually restricted by the
induced patient dose, scan speed, and image quality. Sparse-angle tomographic scans …
induced patient dose, scan speed, and image quality. Sparse-angle tomographic scans …
Neural Network-based Sinogram Upsampling in Real-measured CT Reconstruction
Computed tomography (CT) is one of the most popular non-invasive medical imaging
modalities. A major downside of medical CT is the exposure of the patient to high-energy X …
modalities. A major downside of medical CT is the exposure of the patient to high-energy X …
Self-supervised CT Dual Domain Denoising using Low-parameter Models
Computed tomography (CT) is routinely used for three-dimensional non-invasive imaging.
Numerous data-driven image denoising algorithms were proposed to restore image quality …
Numerous data-driven image denoising algorithms were proposed to restore image quality …
using Low-parameter Models
Computed tomography (CT) is routinely used for three-dimensional non-invasive imaging.
Numerous data-driven image denoising algorithms were proposed to restore image quality …
Numerous data-driven image denoising algorithms were proposed to restore image quality …