954 citations · 2k across the 32 of their papers we have counts for
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An Extended Primal-Dual Algorithm Framework for Nonconvex Problems with Application to Nonlinear Imaging
Yu Gao, Xiaochuan Pan, Chong Chen
We propose an extended primal-dual algorithm framework for solving a general nonconvex optimization model. This work is motivated by image reconstruction problems in a class of non…
Report on the AAPM deep-learning sparse-view CT (DL-sparse-view CT) Grand Challenge
Emil Y. Sidky, Xiaochuan Pan
Purpose: The purpose of the challenge is to find the deep-learning technique for sparse-view CT image reconstruction that can yield the minimum RMSE under ideal conditions, thereby…
Dual-energy CT imaging with limited-angular-range data
Buxin Chen, Zheng Zhang, Dan Xia +2
In dual-energy computed tomography (DECT), low- and high- kVp data are collected often over a full-angular range (FAR) of . While there exists strong interest in DECT wi…
Directional-TV Algorithm for Image Reconstruction from Limited-Angular-Range Data
Zheng Zhang, Buxin Chen, Dan Xia +2
Investigation of image reconstruction from data collected over a limited angular range in X-ray CT remains a topic of active research because it may yield insight into the developm…
Non-convex primal-dual algorithm for image reconstruction in spectral CT
Buxin Chen, Zheng Zhang, Dan Xia +2
The work seeks to develop an algorithm for image reconstruction by directly inverting the non-linear data model in spectral CT. Using the non-linear data model, we formulate the im…