%0 Journal Article
%T N-dimensional Multimodality Medical Images Registration Based on Mutual Information<br>基于互信息的N维多模医学图像配准
%A LIU Qing
%A GUO Xi-juan
%A XU Shen-yang
%A <br>刘晴
%A 郭希娟
%A 许慎洋
%J 中国图象图形学报
%D 2009
%I 
%X At present, the multimodality medical image registration has been all confined in registering two images and rarely involved N-dimensional images (three and more than three dimensions). Using the expanded N-dimensional mutual information measure (E-NMIM) to register multiple images inefficient, and cannot meet the clinical requirement.In addition mutual information(MI) values are not necessarily nonnegative. In this paper, we introduce a new N-dimensional mutual information measure (N-NMIM), which can ensure MI values are nonnegative, bounded to range from 1 to 2. At the same time, the rate of the registration has moved up. Then this definition is tested and proved to be effective on registration of three lumbar vertebra images through simulation, including CT,T1 weighted MRI and T2 weighted MRI.
%K multimodality image registration
%K N-dimensional mutual information
%K similarity measure
%K affine transformation<br>多模图像配准
%K N维互信息
%K 相似性测度
%K 仿射变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=A4C757E825F5B136C4C62E00C622912B&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=F3090AE9B60B7ED1&sid=A6257A21BF5DE900&eid=1A12D34D3633DCF5&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=7