27 citations · 49 across the 4 of their papers we have counts for
4 papers
OSNet & MNetO: Two Types of General Reconstruction Architectures for Linear Computed Tomography in Multi-Scenarios
Zhisheng Wang, Zihan Deng, Fenglin Liu +3
Recently, linear computed tomography (LCT) systems have actively attracted attention. To weaken projection truncation and image the region of interest (ROI) for LCT, the backprojec…
BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction
Zhisheng Wang, Haijun Yu, Yixing Huang +5
Micro-computed tomography (micro-CT) is a widely used state-of-the-art instrument employed to study the morphological structures of objects in various fields. However, its small fi…
Spectral CT Reconstruction via Low-rank Representation and Structure Preserving Regularization
Yuanwei He, Li Zeng, Qiong Xu +5
With the development of computed tomography (CT) imaging technology, it is possible to acquire multi-energy data by spectral CT. Being different from conventional CT, the X-ray ene…
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…