Brain image registration based on entropy of mutual information matrix

被引：0
|
作者：
Liu, Changchun [1 ]
Hu, Shunbo
Gu, Jason J.
Yang, Jinbao
Yu, Mengsun
机构：
[1] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
来源：
2007 CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, VOLS 1-3 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A novel method for high-dimensional mutual information registration is proposed. This method first calculates high-dimensional mutual information matrix, and then calculates the entropy of that matrix. The maximal entropy corresponds to the optimal registration solution. The method was qualitatively and quantitatively evaluated on simulated and real brain images. The obtained results show that the proposed method can improve registration accuracy and decrease registration time.
引用
收藏
页码：1163 / 1166
页数：4
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