In situ investigation on rapid microstructure evolution in extreme complex environment by developing a new AFBP-TVM sparse tomography algorithm from original CS …

F Xu, B Dong, X Hu, Y Xiao, Y Wang - Optics and Lasers in Engineering, 2017 - Elsevier
A new sparse tomography method for observing the rapid internal microstructure evolution
of material, called the Algebraic Filtered-Back-Projection and Total Variation Minimization …

A Deep Learning-Driven Fast Scanning Method for Micro-Computed Tomography Experiments on CMCs

RQ Zhu, GH Niu, ZL Qu, PD Wang, DN Fang - Experimental Mechanics, 2024 - Springer
Background In-situ micro-computed tomography (µCT) technology is an attractive approach
to investigate the evolution process of damage inside ceramic matrix composites (CMCs) …

SR-CT filter-back-projection algorithm and application in detection of microstructure evolution

H Qu, F Xu, X Hu, H Miao, T Xiao, Z Zhang - Procedia Engineering, 2010 - Elsevier
Noise has been spotted in Synchrotron Radiation X-ray Computed Tomography (SR-CT)
experiment; however, traditional filter functions (such as SL filter function and RL filter …

Microstructure images restoration of metallic materials based upon KSVD and smoothing penalty sparse representation approach

Q Li, SY Liang - Materials, 2018 - mdpi.com
Microstructure images of metallic materials play a significant role in industrial applications.
To address image degradation problem of metallic materials, a novel image restoration …

Improving the efficiency of small-angle x-ray scattering computed tomography using the OSEM algorithm

T Hu, Y Wang, G Du, Y Wang, W Hua, B Deng, H Xie… - Applied Optics, 2017 - opg.optica.org
Small-angle x-ray scattering computed tomography (SAXS-CT) is a nondestructive method
for the nanostructure analysis of heterogeneous materials. However, the limits of a long data …

Image fast reconstruction for sparse view computed tomography with reduced sampling integration time

C Long, C Tan, E Zhao, H Tan, L Duan - Displays, 2024 - Elsevier
Industrial computed tomography (CT) can detect the internal structure of objects
nondestructively. Its scanning and image reconstruction are time-consuming, which limits its …

[HTML][HTML] Comparative studies of total-variation-regularized sparse reconstruction algorithms in projection tomography

H Xie, H Wang, L Wang, N Wang, J Liang, Y Zhan… - AIP Advances, 2019 - pubs.aip.org
Projection tomography techniques, such as optical projection tomography and stimulated
Raman projection tomography, can efficiently provide quantitative distributions of …

Linear programming-based reconstruction algorithm for limited angular sparse-view tomography

X Zhang, H Liu - Optics and Lasers in Engineering, 2021 - Elsevier
The reconstruction of high-quality images from limited angular sparse-view tomography data
is desired in many fields, including low-dose computed tomography and nondestructive …

Sparse-view computed tomography image reconstruction via a combination of L 1 and SL 0 regularization

H Qi, Z Chen, J Guo, L Zhou - Bio-medical materials and …, 2015 - content.iospress.com
Low-dose computed tomography reconstruction is an important issue in the medical imaging
domain. Sparse-view has been widely studied as a potential strategy. Compressed sensing …

Simulation study of spherical multilayer object CT reconstruction from sparse projection data

XIA Jing-tao, W Qun-shu, LI Bin-kang… - CT Theory and …, 2014 - cttacn.org.cn
This paper mainly aims at the simulation study of high-density-difference multilayer spherical
object reconstruction from angle-sparse projection data based on FBP algorithm …