[1]储颖,糜华,纪震,等.基于智能单粒子的联合代数重建算法[J].深圳大学学报理工版,2009,26(2):111-115.
 CHU Ying,MI Hua,JI Zhen,et al.Simultaneous algebraic reconstruction technique based on intelligent particle optimizer[J].Journal of Shenzhen University Science and Engineering,2009,26(2):111-115.
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基于智能单粒子的联合代数重建算法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第26卷
期数:
2009年2期
页码:
111-115
栏目:
电子与信息工程
出版日期:
2009-04-30

文章信息/Info

Title:
Simultaneous algebraic reconstruction technique based on intelligent particle optimizer
文章编号:
1000-2618(2009)02-0111-05
作者:
储颖12糜华2纪震2Q. H. WU3
1)西安交通大学电子与信息工程学院, 西安 710049
2)深圳大学德州仪器DSPs实验室,深圳大学计算机与软件学院,深圳 518060
3)利物浦大学电气电子工程系,利物浦 L69 3GJ,英国
Author(s):
CHU Ying12MI Hua2JI Zhen2and Q.H.WU3
1)School of Electronic and Information Engineering,Xi′an Jiaotong University,Xi′an 710049,P.R.China
2)Texas Instruments DSPs Lab,College of Computer Science and Software Engineering,Shenzhen University,Shenzhen 518060,P.R.China
3)Department of Electrical Engineering & Electronics,The University of Liverpool,Liverpool L69 3GJ,UK
关键词:
联合代数重建算法智能单粒子算法图像重建
Keywords:
simultaneous algebraic reconstruction techniqueintelligent particle optimizerimage reconstruction
分类号:
TN 911.73;R 814.42;Q 819
文献标志码:
A
摘要:
提出一种基于智能单粒子(intelligent particle optimizer,IPO)的改进型联合代数重建算法(simultaneous algebraic reconstruction technique,SART).为提高重建图像质量,引入松弛矩阵概念,利用智能单粒子算法搜索每一像素特有的最优松弛因子,增强重建算法对图像局部特性的针对性.仿真结果表明,采用IPO-SART算法获得的重建图像质量较传统SART算法更佳.
Abstract:
An improved simultaneous algebraic reconstruction technique (SART) based on intelligent particle optimizer (IPO) was presented.Relaxation factor matrix (RFM),i.e.a group of unique relaxation factors for each pixel in the reconstructed image,was introduced to improve the quality of the reconstructed image.The newly proposed IPO-SART searched the optimal RFM by IPO to enhance the pertinence of the arithmetic to local areas of reconstructed images.Compared with the traditional SART,the simulation results demonstrate the effectiveness of the proposed algorithm in improving the quality of reconstructed images.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2009-02-25;修回日期:2009-04-07
基金项目:国家自然科学基金委员会与英国皇家学会合作资助项目 (60711130233)
作者简介:储颖(1978-),女(汉族),江苏省宜兴市人,西安交通大学博士研究生、深圳大学讲师. E-mail:chuying@szu.edu.cn
通讯作者:纪震(1973-),男(汉族),深圳大学教授、博士生导师. E-mail:jizhen@szu.edu.cn
更新日期/Last Update: 2009-05-13