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| 稀疏信号恢复理论在CT图像重建中的应用 | |
| 引用本文： | 王林元,李磊,闫镔,江成顺,王浩宇,包尚联.稀疏信号恢复理论在CT图像重建中的应用[J].CT理论与应用研究,2009,18(3). |
| 作者姓名： | 王林元 李磊 闫镔 江成顺 王浩宇 包尚联 |
| 作者单位： | 1. 信息工程大学,信息研究系,郑州,450002 2. 信息工程大学,电子科学与技术系,郑州,450002 3. 北京大学,医学物理和工程北京市重点实验室,北京,100871 |
| 基金项目： | 国家自然科学基金(60672104); 973课题(2006CB705705); 北京市共建项目 |
| 摘 要： | 新的图像重建算法一直是CT成像前沿研究中的热点问题之一,而实际中常常遇到的有限角度重建问题则是其中的难点.Terence Tao和他的同事提出了一种稀疏信号恢复理论,为解决这个问题提出了可能的应用策略.我们在本文中介绍了这个理论并给出了在锥束CT重建中应用的初步结果.这种理论和策略的实现对很多应用情况都有重要的意义,为该领域的发展开辟了新的方向,也必将对该领域的发展产生重大影响. |
| 关 键 词： | CT 图像重建算法 稀疏信号恢复 有限角度重建 |
The Application of Sparse Signal Recovery Theory in CT Image Reconstruction |
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| WANG Lin-yuana,LI Leib,YAN Binb,JIANG Cheng-shuna,WANG Hao-yu,BAO Shang-lian .a.The Application of Sparse Signal Recovery Theory in CT Image Reconstruction[J].Computerized Tomography Theory and Applications,2009,18(3). | |
| Authors: | WANG Lin-yuana LI Leib YAN Binb JIANG Cheng-shuna WANG Hao-yu BAO Shang-lian a |
| Institution: | WANG Lin-yuan1a,LI Lei1b,YAN Bin1b,JIANG Cheng-shun1a,WANG Hao-yu2,BAO Shang-lian2 1.a) Department of Information Research,b) Department of Electronic Science , Technology,Institute of Information Engineering,Information Engineering University,Zhengzhou 450002,China 2.The Beijing City Key Lab of Medical Physics & Engineering,Peking University,Beijing 100871,China |
| Abstract: | The new image reconstruction algorithm remains one of the hot problems in the current research of computed tomography(CT),among which the reconstruction algorithm with limited views is a difficult problem in practice.Recently,a sparse signal recovery theory was proposed by Terence Tao and his colleagues,which may give a strategy for solving this problem.We introduced this theory and presented some primary simulated results in this paper.The realization of the strategy is significant in some special applicat... |
| Keywords: | CT image reconstruction algorithm sparse signal reconstruction limited-views reconstruction |
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