Medical image fusion by multi-resolution analysis of wavelets transform

被引：9
|
作者：
Li, Xueke [1 ]
Tian, Xiaolin [1 ]
Sun, Yankui [2 ]
Tang, Zesheng [1 ]
机构：
[1] Macao Univ Sci & Technol, Fac Informat Technol, Macau, Taipa, Peoples R China
[2] Tsinghua Univ, Dept Comp Sci & Technol, Beijing, Peoples R China
来源：
WAVELET ANALYSIS AND APPLICATIONS | 2007年
基金：
中国国家自然科学基金;
关键词：
medical image fusion; mutual information; multi-resolution analysis; wavelet transform;
D O I：
10.1007/978-3-7643-7778-6_27
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A novel algorithm for the multimodalities medical images fusion based on wavelet transform has been proposed and implemented. The auto-adaptive weighted coefficients have been calculated recursively to maximize the mutual information between the source image and the result image. Adopting multi-resolution analysis of wavelet transform, we achieved the MRI and CT image fusion. In addition, the new algorithm has been extended to MRI and color image fusion. The experiment results demonstrate that the new algorithm with wavelet transform have better fusion result's compared with other mutual information fusion schemes without wavelet transform.
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页码：389 / +
页数：4
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