Zixiang Chen
Chinese Academy of Sciences
10 Papers
17 Citations
Zixiang Chen is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Iterative reconstruction & Computer science. The author has an hindex of 3, co-authored 10 publications.
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Papers
CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging
Huang Zhiyuan,Zixiang Chen,Qiyang Zhang,Guotao Quan,Min Ji,Chengjin Zhang,Yang Yongfeng,Xin Liu,Dong Liang,Hairong Zheng,Hu Zhanli +10 more
TL;DR: An algorithm based on a cycle-consistent generative adversarial network (CycleGAN) to suppress noise and reduce artifacts and includes attention mechanisms in the proposed network to expand the receptive field and capture richer contextual dependencies.
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Low-dose CT reconstruction method based on prior information of normal-dose image.
Zixiang Chen,Qiyang Zhang,Chao Zhou,Mengxi Zhang,Yang Yongfeng,Xin Liu,Hairong Zheng,Dong Liang,Hu Zhanli +8 more
TL;DR: This study presents a new low-dose CT reconstruction method based on prior information of normal-dose image (PI-NDI) for sparse-view CT image reconstruction that has superior performance over other state-of-art methods.
9
Temporal feature prior-aided separated reconstruction method for low-dose dynamic myocardial perfusion computed tomography.
Zixiang Chen,Dong Zeng,Zhenxing Huang,Jianhua Ma,Zheng Gu,Yang Yongfeng,Xin Liu,Hairong Zheng,Dong Liang,Hu Zhanli +9 more
TL;DR: In this article, a temporal feature prior-aided separated reconstruction method (TFP-SR) was proposed for low-dose DMP-CT images reconstruction from sparse few-view sinograms.
8
An iterative reconstruction method for sparse-projection data for low-dose CT.
TL;DR: In this paper, the authors proposed and tested an algorithm based on guided kernel filtering, which combines the characteristics of anisotropic edges between adjacent image voxels, expresses the relevant weights with an exponential function, and adjusts the weights adaptively through local gray gradients to better preserve the image structure while suppressing noise information.
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•Posted Content
High temporal resolution total-body dynamic PET/CT imaging based on third-order Hermite interpolation
Zixiang Chen,Yaping Wu,Na Zhang,Yu Shen,Chenwei Li,Yang Yongfeng,Xin Liu,Hairong Zheng,Dong Liang,Meiyun Wang,Hu Zhanli +10 more
TL;DR: In this paper, the authors proposed a pitch-in method for denoising images with short frame durations via pixel-level time-activity curve (TAC) correction based on third-order Hermite interpolation (Pitch-In).