基于双正交小波变换的CT/PET医学图像融合

医学图像融合能将不同设备图像的诊断信息综合起来,充分利用各成像设备的优点。不仅可以提高疾病的确诊率,而且可以提高病灶的定位精度,在诊断上具有重要的应用价值。小波变换是图像融合中一种有效的方法。为了避免正交小波产生的相位失真,采用双正交小波对CT-PET图像进行多分辨率分解与重构,并提出一种新的融合算法。实验表明,该方法能有效地将解剖信息和功能信息集成在一起,完好地保留了各图像的信息。

CT/PET medical image fusion based on biorthogonal wavelet transform

Medical image fusion can integrate different facilities image diagnoses formation,takes full advantage of various facilities merit.h not only enhance disease accuracy but also improves focus precise location,and has a very important value of application for diagnosis.Wavelet transform is a effective method of image fusion.This paper utilizes biorthogonal wavelet transform merge CT and PET image for avoiding phase distortion by conventional orthogonal wavelet transform,and introduces a new fusion method.Experimental result shows this method can effectively integrate anatomic and functional information,preserves the details of each input image successfully.