Multimodal medical image fusion using wavelet transform and human vision system

Abstract

Mutimodal medical image fusion has been used to derive complementary information from different modality of medical image. Fusing images like computer tomography (CT) and magnetic resonance imaging (MRI) images can improve the image content, it also can provide more information to the doctor for diagnosing. In this article, a multimodal medical image fusion method based on wavelet transform (WT) and human visual system (HVS) is presented. The proposed image fusion scheme combine the advantages of the WT and the HVS to obtain better fusion results. The source medical images are first decomposed by WT and utilize HVS to select coefficients. Finally, inverse WT is applied to get the fused image. Some performances are used to evaluate the result.