An algorithm for computed tomography image reconstruction from limited-view projections

作     者：王林元 李磊 闫镔 江成顺 王浩宇 包尚联 

作者机构：National Digital Switching System Engineering & Technological R & D Centre The Beijing City Key Lab of Medical Physics & EngineeringPeking University 

基　　金：Project supported by the National Basic Research Program of China(Grant No.2006CB7057005) the National High Technology Research and Development Program of China(Grant No.2009AA012200) the National Natural Science Foundation of China (Grant No.60672104) 

出 版 物：《Chinese Physics B》 (中国物理B（英文版）)

年 卷 期：2010年第19卷第8期

页      码：642-647页

摘      要：With the development of the compressive sensing theory, the image reconstruction from the projections viewed in limited angles is one of the hot problems in the research of computed tomography technology. This paper develops an iterative algorithm for image reconstruction, which can fit the most cases. This method gives an image reconstruction flow with the difference image vector, which is based on the concept that the difference image vector between the reconstructed and the reference image is sparse enough. Then the l1-norm minimization method is used to reconstruct the difference vector to recover the image for flat subjects in limited angles. The algorithm has been tested with a thin planar phantom and a real object in limited-view projection data. Moreover, all the studies showed the satisfactory results in accuracy at a rather high reconstruction speed.

主 题 词：limited-view problem computed tomography image reconstruction algorithms reconstruction-reference difference algorithm adaptive steepest descent-projection onto convex sets algorithm 

学科分类：12[管理学] 1201[管理学-管理科学与工程类] 081104[081104] 08[工学] 080203[080203] 0835[0835] 0802[工学-机械学] 0811[工学-水利类] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1088/1674-1056/19/8/088106

馆 藏 号：203318187...