%0 Journal Article
%T New medical image registration method using hybrid QPSO<br>一种基于混合量子行为粒子群优化算法的图像配准方法
%A XIE Zhen-ping
%A SUN Jun
%A <br>谢振平
%A 孙　俊
%J 计算机应用研究
%D 2012
%I 
%X In order to acquire the more high accuracy of multimodality medical image registration required by practical applications, this paper proposed HQPSO algorithm. Accordingly, it presented a novel medical image registration method by means of maximizing the mutual information between two images. The experimental results demonstrate that the performance of new algorithm is more effective than Powell, PSO and QPSO. Thus, the new algorithm provides a more valuable way for the medical image registration strongly desired in the medical diagnosis.
%K image registration
%K mutual information
%K quantum-behaved particle swarm optimization
%K Powell algorithm
%K hybrid algorithm<br>图像配准
%K 互信息
%K 量子行为的粒子群优化(QPSO)算法
%K Powell法
%K 混合算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=38AAB79AD8A56B536DF0F5875840F78A&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=F3090AE9B60B7ED1&sid=CB6D47ADBE715131&eid=59CFE4AA6C8FAAEA&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11