Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty

2015 ◽  
Vol 34 (3) ◽  
pp. 748-760 ◽  
Author(s):  
Kyungsang Kim ◽  
Jong Chul Ye ◽  
William Worstell ◽  
Jinsong Ouyang ◽  
Yothin Rakvongthai ◽  
...  
Keyword(s):  
Low Rank ◽  
Ct Reconstruction ◽  
Spectral Ct

scholarly journals Iterative spectral CT reconstruction based on low rank and average-image-incorporated BM3D

2018 ◽  
Vol 63 (15) ◽  
pp. 155021 ◽  
Author(s):  
Morteza Salehjahromi ◽  
Yanbo Zhang ◽  
Hengyong Yu
Keyword(s):  
Low Rank ◽  
Ct Reconstruction ◽  
Spectral Ct ◽  
Average Image

scholarly journals Non-Local Low-Rank Cube-Based Tensor Factorization for Spectral CT Reconstruction

2019 ◽  
Vol 38 (4) ◽  
pp. 1079-1093 ◽  
Author(s):  
Weiwen Wu ◽  
Fenglin Liu ◽  
Yanbo Zhang ◽  
Qian Wang ◽  
Hengyong Yu
Keyword(s):  
Low Rank ◽  
Tensor Factorization ◽  
Ct Reconstruction ◽  
Spectral Ct ◽  
Non Local

scholarly journals Spectral CT Reconstruction via Low-Rank Representation and Region-Specific Texture Preserving Markov Random Field Regularization

2020 ◽  
Vol 39 (10) ◽  
pp. 2996-3007
Author(s):  
Yongyi Shi ◽  
Yongfeng Gao ◽  
Yanbo Zhang ◽  
Junqi Sun ◽  
Xuanqin Mou ◽  
...  
Keyword(s):  
Random Field ◽  
Markov Random Field ◽  
Low Rank ◽  
Ct Reconstruction ◽  
Spectral Ct ◽  
Markov Random ◽  
Low Rank Representation

scholarly journals Nonlocal low-rank and sparse matrix decomposition for spectral CT reconstruction

2018 ◽  
Vol 34 (2) ◽  
pp. 024003 ◽  
Author(s):  
Shanzhou Niu ◽  
Gaohang Yu ◽  
Jianhua Ma ◽  
Jing Wang
Keyword(s):  
Sparse Matrix ◽  
Matrix Decomposition ◽  
Low Rank ◽  
Ct Reconstruction ◽  
Spectral Ct

MO-DE-207A-05: Dictionary Learning Based Reconstruction with Low-Rank Constraint for Low-Dose Spectral CT

2016 ◽  
Vol 43 (6Part30) ◽  
pp. 3701-3701 ◽  
Author(s):  
Q Xu ◽  
H Liu ◽  
H Yu ◽  
G Wang ◽  
L Xing
Keyword(s):  
Dictionary Learning ◽  
Low Dose ◽  
Low Rank ◽  
Spectral Ct ◽  
Rank Constraint

scholarly journals Spectral CT Reconstruction With Image Sparsity and Spectral Mean

2016 ◽  
Vol 2 (4) ◽  
pp. 510-523 ◽  
Author(s):  
Yi Zhang ◽  
Yan Xi ◽  
Qingsong Yang ◽  
Wenxiang Cong ◽  
Jiliu Zhou ◽  
...  
Keyword(s):  
Ct Reconstruction ◽  
Spectral Ct

scholarly journals Synergistic multi-spectral CT reconstruction with directional total variation

2021 ◽  
Vol 379 (2204) ◽  
pp. 20200198 ◽  
Author(s):  
Evelyn Cueva ◽  
Alexander Meaney ◽  
Samuli Siltanen ◽  
Matthias J. Ehrhardt
Keyword(s):  
Total Variation ◽  
Structural Information ◽  
Signal To Noise Ratio ◽  
Ct Reconstruction ◽  
Spectral Ct ◽  
Iterative Regularization ◽  
Tomographic Image Reconstruction ◽  
Available Energy ◽  
Computational Speed ◽  
Energy Channels

This work considers synergistic multi-spectral CT reconstruction where information from all available energy channels is combined to improve the reconstruction of each individual channel. We propose to fuse these available data (represented by a single sinogram) to obtain a polyenergetic image which keeps structural information shared by the energy channels with increased signal-to-noise ratio. This new image is used as prior information during a channel-by-channel minimization process through the directional total variation. We analyse the use of directional total variation within variational regularization and iterative regularization. Our numerical results on simulated and experimental data show improvements in terms of image quality and in computational speed. This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 2’.

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