Reference health
Iterative image reconstruction for sparse-view CT via total variation regularization and dictionary learning
29/29 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 29 checked references that resolve
resolves10.1088/0031-9155/57/7/2063
A comprehensive study on the relationship between the image quality and imaging dose in low-dose cone beam CT
resolves10.2217/iim.09.5
Radiation dose reduction in computed tomography: techniques and future perspective
resolves10.1088/0031-9155/59/12/2997
Sparse-view x-ray CT reconstruction via total generalized variation regularization
resolves10.1088/0031-9155/61/14/5311
A feature refinement approach for statistical interior CT reconstruction
resolves10.1088/0031-9155/58/7/2119
A limited-angle CT reconstruction method based on anisotropic TV minimization
resolves10.3233/XST-180412
A new adaptive-weighted total variation sparse-view computed tomography image reconstruction with local improved gradient information
resolves10.1088/0031-9155/53/17/021
Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization
resolves10.1088/0031-9155/57/23/7923
Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction
resolves10.1016/j.neucom.2018.01.037
A new Mumford–Shah total variation minimization based model for sparse-view x-ray computed tomography image reconstruction
resolves10.3233/XST-160579
Image reconstruction from few-view CT data by gradient-domain dictionary learning
resolves10.1109/TMI.2014.2336860
Artifact Suppressed Dictionary Learning for Low-Dose CT Image Processing
resolves10.1109/TSP.2006.881199
$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
resolves10.1016/j.nima.2014.02.026
Compressive sampling in computed tomography: Method and application
resolves10.3233/XST-180404
Performance of the sinogram-based iterative reconstruction in sparse view X-ray computed tomography
resolves10.1148/radiol.11101450
Adaptive Statistical Iterative Reconstruction Technique for Radiation Dose Reduction in Chest CT: A Pilot Study
resolves10.1118/1.3638125
Low-dose computed tomography image restoration using previous normal-dose scan
resolves10.1088/0031-9155/55/22/001
Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT
resolves10.1088/0031-9155/57/16/5245
Optimization-based reconstruction of sparse images from few-view projections
resolves10.1109/42.993128
Statistical image reconstruction for polyenergetic X-ray computed tomography
resolves10.1088/0031-9155/56/17/006
Effects of the penalty on the penalized weighted least-squares image reconstruction for low-dose CBCT
resolves10.1148/rg.262055138
CT Dose Reduction and Dose Management Tools: Overview of Available Options
resolves10.1109/ACSSC.1993.342465
Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition
resolves10.1109/TMI.2006.882141
Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography
resolves10.1109/TMI.2012.2230185
Quantifying Admissible Undersampling for Sparsity-Exploiting Iterative Image Reconstruction in X-Ray CT
resolves10.1109/TIP.2003.819861
Image quality assessment: from error visibility to structural similarity
resolves10.1088/0031-9155/54/19/008
Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms
The 5 references without a DOI — listed, not checked
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no DOI — not checkedhttps://github.com/whutzxy/zxy
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