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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…
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang, Pingkun Yan, Yanbo Zhang +5
In this paper, we introduce a new CT image denoising method based on the generative adversarial network (GAN) with Wasserstein distance and perceptual similarity. The Wasserstein d…
Dictionary-Learning-Based Reconstruction Method for Electron Tomography
Baodong Liu, Hengyong Yu, Scott S. Verbridge +2
Electron tomography usually suffers from so called missing wedge artifacts caused by limited tilt angle range. An equally sloped tomography (EST) acquisition scheme (which should b…