1.7k citations · 2.3k across the 7 of their papers we have counts for
7 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…
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…
Convolutional Neural Network Based Metal Artifact Reduction in X-ray Computed Tomography
Yanbo Zhang, Hengyong Yu
In the presence of metal implants, metal artifacts are introduced to x-ray CT images. Although a large number of metal artifact reduction (MAR) methods have been proposed in the pa…
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…
Single-scan scatter correction in CBCT by using projection correlation based view interpolation (PC-VI) and a stationary ring-shaped beam stop array (BSA)
Hao Yan, Xuanqin Mou, Yanbo Zhang +1
In the scatter correction for x-ray Cone Beam (CB) CT, the single-scan scheme with moving Beam Stop Array (BSA) offers reliable scatter measurement with low dose, and by using Proj…
Metal artifact reduction based on the combined prior image
Yanbo Zhang, Xuanqian Mou
Metallic implants introduce severe artifacts in CT images, which degrades the image quality. It is an effective method to reduce metal artifacts by replacing the metal affected pro…