多源医学图像融合方法的初步研究  

A Preliminary Research on Multi-source Medical Image Fusion

作　　者：康原原[1] 李彬[1] 田联房[1] 毛宗源[1] 

机构地区：[1]华南理工大学自动化科学与工程学院,广州510640

出　　处：《生物医学工程学杂志》2009年第2期244-247,252,共5页Journal of Biomedical Engineering

基　　金：国家自然科学基金资助项目(30570458);广东省自然科学基金资助项目(05006530);广州市番禺区科技攻关项目资助(2005-Z-55-1)

摘　　要：多模医学图像融合在临床诊断和治疗中有重要的应用价值。我们采用Daubechies 9/7双正交小波变换的多分辨率分析方法,对解剖图像和功能图像进行融合,提出了一种将局部标准差和能量相结合作为纹理测度的融合算法,并给出了融合图像量化的评价标准。实验结果表明:该算法能较多地获得多源医学图像的解剖结构和功能代谢信息,很好地保留了源图像的边缘和纹理特征,比传统的加权平均算法、按邻域能量以及按邻域方差加权算法效果更好。Multi-modal medical image fusion has important value in clinical diagnosis and treatment. In this paper, the multi-resolution analysis of Daubechies 9/7 Biorthogonal Wavelet Transform is introduced for anatomical and functional image fusion, then a new fusion algorithm with the combination of local standard deviation and energy as texture measurement is presented. At last,a set of quantitative evaluation criteria is given. Experiments show that both anatomical and metabolism information can be obtained effectively, and both the edge and texture features can be reserved successfully. The presented algorithm is more effective than the traditional algorithms.

关 键 词：双正交小波 纹理特征 局部标准差 局部能量 融合评价 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]