[HTML][HTML] Image reconstruction for sparse-view CT and interior CT—introduction to compressed sensing and differentiated backprojection

H Kudo, T Suzuki, EA Rashed - Quantitative imaging in medicine …, 2013 - ncbi.nlm.nih.gov
New designs of future computed tomography (CT) scanners called sparse-view CT and
interior CT have been considered in the CT community. Since these CTs measure only …

Statistical iterative reconstruction using adaptive fractional order regularization

Y Zhang, Y Wang, W Zhang, F Lin, Y Pu… - Biomedical optics …, 2016 - opg.optica.org
In order to reduce the radiation dose of the X-ray computed tomography (CT), low-dose CT
has drawn much attention in both clinical and industrial fields. A fractional order model …

Quantifying admissible undersampling for sparsity-exploiting iterative image reconstruction in X-ray CT

JS Jorgensen, EY Sidky, X Pan - IEEE Transactions on Medical …, 2012 - ieeexplore.ieee.org
Iterative image reconstruction with sparsity-exploiting methods, such as total variation (TV)
minimization, investigated in compressive sensing claim potentially large reductions in …

TVR-DART: a more robust algorithm for discrete tomography from limited projection data with automated gray value estimation

X Zhuge, WJ Palenstijn… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, we present a novel iterative reconstruction algorithm for discrete tomography
(DT) named total variation regularized discrete algebraic reconstruction technique (TVR …

Optimization-based image reconstruction from sparse-view data in offset-detector CBCT

J Bian, J Wang, X Han, EY Sidky… - Physics in Medicine & …, 2012 - iopscience.iop.org
The field of view (FOV) of a cone-beam computed tomography (CBCT) unit in a single-
photon emission computed tomography (SPECT)/CBCT system can be increased by …

Investigation of iterative image reconstruction in low-dose breast CT

J Bian, K Yang, JM Boone, X Han… - Physics in Medicine & …, 2014 - iopscience.iop.org
There is interest in developing computed tomography (CT) dedicated to breast-cancer
imaging. Because breast tissues are radiation-sensitive, the total radiation exposure in a …

Acceleration of X-ray computed tomography scanning with high-quality reconstructed volume by deblurring transmission images using convolutional neural networks

R Yuki, Y Ohtake, H Suzuki - Precision Engineering, 2022 - Elsevier
X-ray computed tomography (CT) enables nondestructive evaluation and dimensional
metrology using the reconstructed volumes of measured objects. Although the abundant …

Sparse-view statistical image reconstruction with improved total variation regularization for X-ray micro-CT imaging

G Mahmoudi, MR Fouladi, MR Ay… - Journal of …, 2019 - iopscience.iop.org
Sparse-view x-ray micro computed tomography (micro-CT) reconstruction algorithms via
total variation (TV) optimize the data without introducing notable noise and artifacts, resulting …

Metal-induced streak artifact reduction using iterative reconstruction algorithms in x-ray computed tomography image of the dentoalveolar region

J Dong, Y Hayakawa, S Kannenberg… - Oral Surgery, Oral …, 2013 - Elsevier
OBJECTIVE: The objective of this study was to reduce metal-induced streak artifact on oral
and maxillofacial x-ray computed tomography (CT) images by developing the fast statistical …

Accurate Sparse‐Projection Image Reconstruction via Nonlocal TV Regularization

Y Zhang, W Zhang, J Zhou - The Scientific World Journal, 2014 - Wiley Online Library
Sparse‐projection image reconstruction is a useful approach to lower the radiation dose;
however, the incompleteness of projection data will cause degeneration of imaging quality …