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基于小波变换的多分辨率医学图像融合
引用本文:于红玉,沈晋慧,陈世华,张旭. 基于小波变换的多分辨率医学图像融合[J]. 北京生物医学工程, 2003, 22(1): 21-22
作者姓名:于红玉  沈晋慧  陈世华  张旭
作者单位:1. 首都医科大学生物医学工程学院,北京,100054
2. 北京大学第三医院医学工程处,北京,100083
基金项目:北京市教委资助项目 (项目号 99LG -69)
摘    要:多模医学图像融合在医学图像分析和诊断上具有极为重要的应用价值。本文采用了基于小波变换的多分辨率分析对人脑MRI PET图像进行了融合。结果表明此方法能够充分有效地将解剖信息与功能信息集成在一起 ,并保留原始图像的边缘和纹理特征 ,具有广阔的应用前景

关 键 词:融合  小波变换  多分辨率分析
文章编号:1002-3208(2003)01-0021-02
修稿时间:2002-04-08

Fusion of Multi-resolution Medical Images Based on Wavelet Transform
YU Hongyu ,SHEN Jinhui ,CHEN Shihua ,ZHANG Xu . College of Biomedical Engineering,Capital University of Medical Sciences,Beijing , Biomedical Department,Peking University Third Hospital,Beijing. Fusion of Multi-resolution Medical Images Based on Wavelet Transform[J]. Beijing Biomedical Engineering, 2003, 22(1): 21-22
Authors:YU Hongyu   SHEN Jinhui   CHEN Shihua   ZHANG Xu . College of Biomedical Engineering  Capital University of Medical Sciences  Beijing    Biomedical Department  Peking University Third Hospital  Beijing
Affiliation:YU Hongyu 1,SHEN Jinhui 1,CHEN Shihua 2,ZHANG Xu 1.1 College of Biomedical Engineering,Capital University of Medical Sciences,Beijing 100054,2 Biomedical Department,Peking University Third Hospital,Beijing 100083
Abstract:Multi mode medical image fusion has very important value of application for medical image analysis and diagnosis.In this paper,we introduce a multi resolution method based on wavelet transform to fuse MRI PET images of human brain.Experimental results showed that this method could effectively integrate anatomic and functional information,and cold retain edge and texture features of original images.The method has a good future for application.
Keywords:Fusion Wavelet transform Multi resolution analysis
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