77 citations · 158 across the 5 of their papers we have counts for
5 papers
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT
Weiwen Wu, Haijun Yu, Peijun Chen +7
The potential huge advantage of spectral computed tomography (CT) is its capability to provide accuracy material identification and quantitative tissue information. This can benefi…
Block Matching Frame based Material Reconstruction for Spectral CT
Weiwen Wu, Qian Wang, Fenglin Liu +2
Spectral computed tomography (CT) has a great potential in material identification and decomposition. To achieve high-quality material composition images and further suppress the x…
Non-local Low-rank Cube-based Tensor Factorization for Spectral CT Reconstruction
Weiwen Wu, Fenglin Liu, Yanbo Zhang +2
Spectral computed tomography (CT) reconstructs material-dependent attenuation images with the projections of multiple narrow energy windows, it is meaningful for material identific…
Low-dose spectral CT reconstruction using L0 image gradient and tensor dictionary
Weiwen Wu, Yanbo Zhang, Qian Wang +3
Spectral computed tomography (CT) has a great superiority in lesion detection, tissue characterization and material decomposition. To further extend its potential clinical applicat…
Local Linear Constraint based Optimization Model for Dual Spectral CT
Qian Wang
Dual spectral computed tomography (DSCT) can achieve energy- and material-selective images, and has a superior distinguishability of some materials than conventional single spectra…