摘要
笔者基于Radon逆变换研究了CT系统成像及重建的问题,并利用粒子群优化算法对标定参数及CT图像重构进行了优化,建立了相应的系统模型。利用Matlab进行仿真检验,结果表明笔者所建立的模型可以较准确确定CT系统的相关信息,并且在图像重构时有较高的准确度。
Imaging and reconstruction of CT system are studied based on Radon inversion transformation in this paper, and the calibration parameters and CT image reconstruction were optimized by particle swarm optimization, the corresponding system model is established. Do simulation and test using Matlab,The results show that the model established in this paper can accurately determine the information of CT system and has high accuracy in image reconstruction.
作者
周佐
Zhou Zuo(College of Physics and Electromechanical Engineering,Hexi University,Zhangye Gansu 734000,Chin)
出处
《信息与电脑》
2018年第14期45-47,共3页
Information & Computer
关键词
CT系统成像
Radon逆变化
滤波反投影法
粒子滤波算法
CT imaging
Radon inverse transformation
filtering back projection method
particle filter algorithm
