Multi-modal Medical Image Fusion Based On Wavelet Transform And Texture Measure

Multi-modal medical image fusion has important value in medical diagnosis. In this paper, the multi-resolution analysis of biorthogonal wavelet transform is introduced for CT and PET image fusion, then a new fusion algorithm with the combination of local standard deviation and energy as texture measurement is presented. Experiments show that both anatomical and metabolism information can be obtained effectively, and both the edge and texture features can be reserved successfully.