中国光学Issue(5)：617-632,16.DOI:10.3788/CO.20130605.0617
层析成像图像重建算法综述
Image reconstruction algorithms of computed tomography
摘要
Abstract
The image reconstruction algorithms of tomography are introduced .The characteristics of the various algorithms are compared from the points of view of the forward model simplication and reverse model mapping structure.Studies show that the various conversion methods belonging to linear algorithm have serious distor -tion, which can be improved by convolution filtering .The various iterative algorithms based on derivative search have strong initial value dependence and slow convergence and are easy to fall into a local optimal solu -tion.The various Fourier transform methods have intrinsic limitation and the wavelet transform can characterize both the time and frequency domain minutiae of the image .The finite element method can simplify the forward model by smart designing pixels of the reconstruction object .With the physical background , the Monte Carlo method, simulated annealing, genetic algorithms, particle filter method and the neural network method are more suitable for complex and nonlinear image reconstruction .Moreover, intelligentization, modeling, paral-lelization, and integration of various algorithms are the trends for the image reconstruction algorithms of the tomography.关键词
层析成像/图像重建算法/多相流Key words
tomography/image reconstruction algorithm/multiphase flow分类
医药卫生引用本文复制引用
阎春生,廖延彪,田芊..层析成像图像重建算法综述[J].中国光学,2013,(5):617-632,16.基金项目
光通信、光传感器件与技术科技创新团队资助项目（No．2010R50007）；高等学校学科创新引智计划资助项目 （）
