自适应指数加权互信息配准医学图像的测度及相应算法  

Adaptive Exponential Weighted Mutual Information as a Similarity Measure for Medical Image Registration

作　　者：陈芳[1] 张建秋[1] 胡波[1] 

机构地区：[1]复旦大学电子工程系,上海200433

出　　处：《生物医学工程学进展》2008年第3期136-140,共5页Progress in Biomedical Engineering

基　　金：国家重点基础研究发展计划(973)资助项目:2006CB705700

摘　　要：为配准医学图像,本文提出了一种新的自适应指数加权的互信息(Adaptive Exponential Weighted Mutual Informa- tion,AEWMI)测度,分析表明:通过对互信息(Mutual Information,MI)测度进行指数加权可以提高测度曲线的峰值尖锐性和平滑性;而指数的权值则可以通过评估待配准图像的质量和分辨率大小来自适应确定。仿真实验结果在验证分析结果的同时也表明,基于本文AEWMI测度的配准方案,对图像噪声、分辨率差异等有较高的鲁棒性,且可有效地提高配准的成功率。In this paper, a new similarity measure for medical image registration, called Adaptive Exponential Weighted Mutual Information （AEWMI）, is proposed. AEWMI could improve the smoothness and peak keenness performance of similarity measurement curve via adaptively weighting MI according to image quality and resolution. The experimental results, demonstrating the analyzing result, show that our method is robust to image noise or resolution difference and improves the registration robustness effectively.

关 键 词：医学图像配准 互信息 自适应指数加权 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] U666.11[自动化与计算机技术—计算机科学与技术]