首页 | 本学科首页   官方微博 | 高级检索  
     

基于混合先验的CT图像重建研究
引用本文:何玲君.基于混合先验的CT图像重建研究[J].传感器世界,2011,17(3):16-19.
作者姓名:何玲君
作者单位:中北大学,山西太原,030051
基金项目:国家自然科学基金资助项目
摘    要:在图像重建中,可以通过贝叶斯方法引入先验知识来抑制噪声提高重建的质量,提出了基于Gibbs先验和解剖中值先验混合的算法,该方法根据Gibbs先验分布和中值先验分布,先用基于Gibbs先验分布的算法多次迭代图像,再结合解剖结构先验,将以后每次迭代后的图像分割成不同的区域,将分割后的图像像素运用于中值先验.仿真实验表明,在...

关 键 词:先验知识分布  自适应正则  图像重建

Research on CT image reconstruction based on mixed prior algorithms
HE Ling-jun.Research on CT image reconstruction based on mixed prior algorithms[J].Sensor World,2011,17(3):16-19.
Authors:HE Ling-jun
Affiliation:HE Ling-jun North University,Taiyuan 030051,China
Abstract:In image reconstruction,the prior knowledge is introduced through Bayesian method to reduce noise and improve the quality of image reconstruction.In this paper,an algorithm is proposed,by which multiple iteration operation to images are done based on Gibbs prior distribution firstly,the images iterated every time are segmented into different regions combined with the anatomical prior technology secondly,and the pixel values of segmented images are used in the median root prior at last.Simulation results sho...
Keywords:prior knowledge distribution  self-adaptive regularization  image reconstruction  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号