Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction
Previous studies have shown that by minimizing the total variation (TV) of the to-be-
estimated image with some data and other constraints, piecewise-smooth x-ray computed …
estimated image with some data and other constraints, piecewise-smooth x-ray computed …
Sparse-view x-ray CT reconstruction via total generalized variation regularization
Sparse-view CT reconstruction algorithms via total variation (TV) optimize the data iteratively
on the basis of a noise-and artifact-reducing model, resulting in significant radiation dose …
on the basis of a noise-and artifact-reducing model, resulting in significant radiation dose …
Total variation-stokes strategy for sparse-view X-ray CT image reconstruction
Previous studies have shown that by minimizing the total variation (TV) of the to-be-
estimated image with some data and/or other constraints, a piecewise-smooth X-ray …
estimated image with some data and/or other constraints, a piecewise-smooth X-ray …
[HTML][HTML] Iterative image reconstruction for sparse-view CT using normal-dose image induced total variation prior
X-ray computed tomography (CT) iterative image reconstruction from sparse-view projection
data has been an important research topic for radiation reduction in clinic. In this paper, to …
data has been an important research topic for radiation reduction in clinic. In this paper, to …
Limited-Angle X-Ray CT Reconstruction Using Image Gradient ℓ₀-Norm With Dictionary Learning
Limited-angle X-ray computed tomography (CT) reconstruction is a typical ill-posed problem.
To recover satisfied reconstructed images with limited-angle CT projections, prior …
To recover satisfied reconstructed images with limited-angle CT projections, prior …
Algorithm-enabled low-dose micro-CT imaging
Micro-computed tomography (micro-CT) is an important tool in biomedical research and
preclinical applications that can provide visual inspection of and quantitative information …
preclinical applications that can provide visual inspection of and quantitative information …
Reweighted anisotropic total variation minimization for limited-angle CT reconstruction
T Wang, K Nakamoto, H Zhang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Limited-angle problems encountered in computed tomography (CT) often necessitate image
reconstruction using projection data from a particular angle range. To solve this severely ill …
reconstruction using projection data from a particular angle range. To solve this severely ill …
A limited-angle CT reconstruction method based on anisotropic TV minimization
This paper presents a compressed sensing (CS)-inspired reconstruction method for limited-
angle computed tomography (CT). Currently, CS-inspired CT reconstructions are often …
angle computed tomography (CT). Currently, CS-inspired CT reconstructions are often …
Low-dose X-ray CT reconstruction via dictionary learning
Although diagnostic medical imaging provides enormous benefits in the early detection and
accuracy diagnosis of various diseases, there are growing concerns on the potential side …
accuracy diagnosis of various diseases, there are growing concerns on the potential side …
A few-view reweighted sparsity hunting (FRESH) method for CT image reconstruction
In recent years, the total variation (TV) minimization method has been widely used for
compressed sensing (CS) based CT image reconstruction. In this paper, we propose a few …
compressed sensing (CS) based CT image reconstruction. In this paper, we propose a few …