Metal artifact correction in photon‐counting detector computed tomography: metal trace replacement using high‐energy data
Background Metal artifacts have been an outstanding issue in computed tomography (CT)
since its first uses in the clinic and continue to interfere. Metal artifact reduction (MAR) …
since its first uses in the clinic and continue to interfere. Metal artifact reduction (MAR) …
Metal artifact reduction in kV CT images throughout two-step sequential deep convolutional neural networks by combining multi-modal imaging (MARTIAN)
This work attempted to construct a new metal artifact reduction (MAR) framework in kilo-
voltage (kV) computed tomography (CT) images by combining (1) deep learning and (2) …
voltage (kV) computed tomography (CT) images by combining (1) deep learning and (2) …
Beam-hardening correction method for quantifying moisture content in cement paste based on X-ray radiography
X Wang, B Dong, X Feng, S Hong, X Huang - Construction and Building …, 2024 - Elsevier
The X-ray spectrum changes while traveling through specimen, and this phenomenon,
known as the beam-hardening effect, breaks the linear relationship between the intensity …
known as the beam-hardening effect, breaks the linear relationship between the intensity …
Seeing the whole picture: Methods for getting the most from micro X-ray computed tomography of TRISO nuclear fuel particles
Tristructural isotropic (TRISO) coated fuel particles are a nuclear fuel form under extensive
study for use in advanced nuclear reactor concepts. TRISO fuels are subjected to high …
study for use in advanced nuclear reactor concepts. TRISO fuels are subjected to high …
The nature of metal artifacts in X-ray computed tomography and their reduction by optimization of tomography systems parameters
SP Osipov, SV Chakhlov, VY Zhvyrblia, DA Sednev… - Applied Sciences, 2023 - mdpi.com
A significant gap in the known methods for assessing the levels of metal artifacts in X-ray
computed tomography and approaches to their reduction is an almost complete disregard …
computed tomography and approaches to their reduction is an almost complete disregard …
Nonconvex weighted variational metal artifacts removal via convergent primal-dual algorithms
L Wang, Z Chen, Z Liu, Y Li, Y Zhao, H Li… - Inverse …, 2024 - iopscience.iop.org
Direct reconstruction through filtered back projection engenders metal artifacts in
polychromatic computed tomography images, attributed to highly attenuating implants …
polychromatic computed tomography images, attributed to highly attenuating implants …
Multi-Scale Characterization of Porosity and Cracks in Silicon Carbide Cladding after Transient Reactor Test Facility Irradiation
Silicon carbide (SiC) ceramic matrix composite (CMC) cladding is currently being pursued
as one of the leading candidates for accident-tolerant fuel (ATF) cladding for light water …
as one of the leading candidates for accident-tolerant fuel (ATF) cladding for light water …
Evaluation of the effects of differences in metal artifact type and location on image quality in computed tomography scans
SW Lim, WK Choi, S Kim - Journal of Medical Physics, 2023 - journals.lww.com
Artifacts in computed tomography scans distort anatomical information and prevent an
accurate diagnosis. Therefore, this study aims to determine the most effective method for …
accurate diagnosis. Therefore, this study aims to determine the most effective method for …
[HTML][HTML] Hybrid model-based and deep learning-based metal artifact reduction method in dental cone-beam computed tomography
Objective To present a hybrid approach that incorporates a constrained beam-hardening
estimator (CBHE) and deep learning (DL)-based post-refinement for metal artifact reduction …
estimator (CBHE) and deep learning (DL)-based post-refinement for metal artifact reduction …
Advanced Analytics on 3D X-ray Tomography of Irradiated Silicon Carbide Claddings
Silicon Carbide (SiC) ceramic matrix composite (CMC) cladding is currently being pursued
as one of the leading candidates for accident-tolerant fuels. To enable an improved …
as one of the leading candidates for accident-tolerant fuels. To enable an improved …