5 citations · 9 across the 5 of their papers we have counts for
6 papers
Matrixed-Spectrum Decomposition Accelerated Linear Boltzmann Transport Equation Solver for Fast Scatter Correction in Multi-Spectral CT
Guoxi Zhu, Li Zhang, Zhiqiang Chen +1
X-ray scatter has been a serious concern in computed tomography (CT), leading to image artifacts and distortion of CT values. The linear Boltzmann transport equation (LBTE) is reco…
DLBayesian: An Alternative Bayesian Reconstruction of Limited-view CT by Optimizing Deep Learning Parameters
Changyu Chen, Li Zhang, Yuxiang Xing +1
Limited-view computed tomography (CT) presents significant potential for reducing radiation exposure and expediting the scanning process. While deep learning (DL) methods have exhi…
ComptoNet: An End-to-End Deep Learning Framework for Scatter Estimation in Multi-Source Stationary CT
Yingxian Xia, Zhiqiang Chen, Li Zhang +2
Multi-source stationary computed tomography (MSS-CT) offers significant advantages in medical and industrial applications due to its gantry-less scan architecture and/or capability…
Implicit Image-to-Image Schrodinger Bridge for Image Restoration
Yuang Wang, Siyeop Yoon, Pengfei Jin +8
Diffusion-based models have demonstrated remarkable effectiveness in image restoration tasks; however, their iterative denoising process, which starts from Gaussian noise, often le…
Generalized-Equiangular Geometry CT: Concept and Shift-Invariant FBP Algorithms
Yingxian Xia, Zhiqiang Chen, Li Zhang +2
With advanced X-ray source and detector technologies being continuously developed, non-traditional CT geometries have been widely explored. Generalized-Equiangular Geometry CT (GEG…
Extraction-based Deep Learning Reconstruction of Interior Tomography
Changyu Chen, Yuxiang Xing, Li Zhang +1
Interior tomography is a typical strategy for radiation dose reduction in computed tomography, where only a certain region-of-interest (ROI) is scanned. However, given the truncate…