An Iterative Algorithm for Computed Tomography Image Reconstruction from Limited-Angle Projections

作     者：孙玉立 陶进绪 陈浩 刘从桂 

作者机构：Department of Electronic Engineering and Information Science University of Science and Technology of China 

出 版 物：《Journal of Shanghai Jiaotong university(Science)》 (上海交通大学学报（英文版）)

年 卷 期：2015年第20卷第2期

页      码：202-208页

摘      要：In application of tomography imaging, limited-angle problem is a quite practical and important *** this paper, an iterative reprojection-reconstruction(IRR) algorithm using a modified Papoulis-Gerchberg(PG)iterative scheme is developed for reconstruction from limited-angle projections which contain noise. The proposed algorithm has two iterative update processes, one is the extrapolation of unknown data, and the other is the modification of the known noisy observation data. And the algorithm introduces scaling factors to control the two processes, respectively. The convergence of the algorithm is guaranteed, and the method of choosing the scaling factors is given with energy constraints. The simulation result demonstrates our conclusions and indicates that the algorithm proposed in this paper can obviously improve the reconstruction quality.

主 题 词：computed tomography limited-angle reconstruction Papoulis-Gerchberg algorithm 

学科分类：0711[理学-心理学类] 07[理学] 08[工学] 080401[080401] 0804[工学-材料学] 080402[080402] 

核心收录：

D　O　I：10.1007/s12204-015-1608-9

馆 藏 号：203109574...