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基于小波多尺度分辨的多模医学图像融合算法研究
引用本文:李海云,于红玉.基于小波多尺度分辨的多模医学图像融合算法研究[J].中国医疗器械杂志,2004,28(2):115-117.
作者姓名:李海云  于红玉
作者单位:首都医科大学生物医学工程学院,北京,100054
摘    要:提出一种基于小波多尺度分辨的多模医学图像融合算法,将待融合的图像进行小波多尺度分解,在特征域上根据图像多尺度分辨的特征实施不同权重的加权融合计算,实施逆变换完成图像重建,得到融合图像.并对人脑的MRI-PET图像进行了融合,实验结果表明该方法能有效地将解剖信息和功能信息融合在一起,并保留原始图像的解剖结构特征.

关 键 词:多尺度分辨  图像融合  小波转换  图像重建
文章编号:1671-7104(2004)02-0115-02
修稿时间:2003年4月14日

A Fusion Algorithm of Multimodality Medical Images Based on Wavelet Multiresolution Decomposition
LI Hai-yun,YU Hong-yu College of Biomedical Engineering,Capital University of Medical Sciences,Beijing.A Fusion Algorithm of Multimodality Medical Images Based on Wavelet Multiresolution Decomposition[J].Chinese Journal of Medical Instrumentation,2004,28(2):115-117.
Authors:LI Hai-yun  YU Hong-yu College of Biomedical Engineering  Capital University of Medical Sciences  Beijing
Abstract:In this paper, a multi-modality medical image fusion algorithm has been studied using the wavelet multiresolution analysis, The method is implemented based on the multiresolution characteristic of the coefficient derived from a daubechies wavelet multiresolution decomposition. Examples are presented here to demonstrate the efficiency of the technique on a fusion of brain MRI-T1 and PET images.
Keywords:multi-resolution analysis  image fusion  wavelet transform  image reconstruction
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