基于稀疏优化的计算机断层成像图像不完全角度重建综述  

Review of sparse optimization-based computed tomography image reconstruction from few-view projections

作　　者：王林元[1] 刘宏奎[2] 李磊[1] 闫镔[1] 张瀚铭[1] 蔡爱龙[1] 陈建林[1] 胡国恩[1] 

机构地区：[1]国家数字交换系统工程技术研究中心,郑州450002 [2]大连理工大学建设工程学院,大连116000

出　　处：《物理学报》2014年第20期15-24,共10页Acta Physica Sinica

基　　金：国家高技术研究发展计划(批准号:2012AA011603);国家自然科学基金(批准号:61372172)资助的课题~~

摘　　要：计算机断层成像(computed tomography,CT)技术在医学和工业无损检测中都具有非常广泛的应用,CT重建算法是其中的核心,而不完全角度重建问题则是实际应用中重建算法研究领域的一个热点和难点问题.近年来,随着稀疏优化理论与算法的飞速发展,基于稀疏优化的重建算法已经在不完全角度重建问题中得到了较广泛的应用,且表现出了良好的精度与速度性能.本文首先对稀疏优化的基本理论结论与常用算法进行了介绍;而后对稀疏优化理论在CT图像不完全角度重建中的应用进行归纳,分类介绍了其主要研究成果及稀疏优化所发挥的作用;最后对基于稀疏优化的不完全角度重建研究进行了展望.Computed tomography （CT） is a technology widely used in medicine and industrial non-destructive testing, and the image reconstruction algorithm is a core technology of CT. Now, the image reconstruction from few-view projections is a hot point in the study of reconstruction algorithm. With the advancements in theories and algorithms, the sparse optimization has recently been applied to few-view reconstruction for CT image, and shown to have a good performance in both accuracy and speed. In this paper, basic conclusions and classical algorithms in sparse optimization are introduced. Furthermore, the spare optimization based few-view reconstruction algorithms for CT image, in particular the main results and the values of spare optimization, are summarized. Finally, the future research direction of sparse optimization based few-view reconstruction for CT image is discussed.

关 键 词：不完全角度重建 稀疏优化 CT图像重建算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]