基于小波变换的医学图像融合技术
Fusion Technique of Medical Images Based on Wavelet Transform
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摘要: 不同成像技术获得的医学图像为临床诊断提供了不同的信息,图像融合技术可以综合利用多模医学图像互补信息,从而有效地提高诊断水平。该文采用小波变换对人脑MR-T2和MR-PD图像进行融合。结果表明此方法能够充分有效地将两种不同模式的信息融合在一起,融合性能优越,很好地保留了原始图像的边缘和纹理特征,为临床诊断提供更加有效的信息。Abstract: Clinical diagnosis is often supported by different imaging modalities with different information. Image fusion from multiple modalities can utilize the complementary information to make more accurate diagnosis. We present a multi-resolution method based on wavelet translation to fuse images of human brain.Experiment results show that this method is a good and effective method.