首页 | 官方网站   微博 | 高级检索  
     

互信息医学图像配准中PV插值算法的改进
引用本文:陈伟卿,华顺刚,欧宗瑛.互信息医学图像配准中PV插值算法的改进[J].计算机工程与应用,2010,46(20):113-115.
作者姓名:陈伟卿  华顺刚  欧宗瑛
作者单位:大连理工大学,机械工程学院,CAD&CG研究所,辽宁,大连,116024
基金项目:国家高技术研究发展计划(863),大连市科技局科技计划项目 
摘    要:基于互信息的医学图像配准算法中,传统的部分体积插值法(PV)使互信息函数在像素整数倍位移处产生局部极值,使优化算法陷于局部最优解,从而导致错误配准。提出用Blackman-Harris窗sinc函数作为核函数,对传统PV插值法进行改进,同时将参与插值的邻域点从4个增加到16个,有效消除了局部极值,得到了光滑的互信息函数曲线。具体配准实验证明,该方法可行,且有更高的鲁棒性。

关 键 词:图像配准  互信息  部分体积插值  局部极值  Blackman-Harris窗sinc函数
收稿时间:2009-4-10
修稿时间:2009-6-4  

Improvement of PV interpolation in mutual information-based medical image registration
CHEN Wei-qing,HUA Shun-gang,OU Zong-ying.Improvement of PV interpolation in mutual information-based medical image registration[J].Computer Engineering and Applications,2010,46(20):113-115.
Authors:CHEN Wei-qing  HUA Shun-gang  OU Zong-ying
Affiliation:(CAD&CG Lab,School of Mechanical Engineering,Dalian University of Technology,Dalian,Liaoning 116024,China )
Abstract:In algorithm of medical image registration based on Mutual Information(MI),when the translation component is integer times of pixel size,conventional PV(Partial Volume) interpolation method will result in the emergency of the local extremes in mutual information registration function,which may hamper the optimization algorithm from getting accurate match parameters.An improved PV interpolation method is proposed by using Blackman-Harris windowed sinc function as kernel function.In addition,the number of concerned neighborhood pixels increases to 16 from 4.Local extremes are eliminated effectively and smooth MI function curve is acquired.The experiments show that the new method is feasible and has higher robustness.
Keywords:image registration  mutual information  partial volume interpolation  local extremes  Blackman-Harris windowed sinc function
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
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-23

京公网安备 11010802026262号