Study on improved algorithm for multimodal medical image fusion based on discrete wavelet transform / 重庆医学

ABSTRACT

Objective To propose an improved discrete wavelet transform (DWT ) and to apply it in multimodal medical im‐age fusion .Methods Firstly ,the source medical images were initially transformed into the high frequency and low frequency images by DWT ;then the high frequency part adopted the big direction absolute values ,which effectively preserved the detailed informa‐tion of image ,while the low frequency part used the fusion rule of local energy ratio for preserving the most of image information ;finally ,the discrete wavelet reverse transform was used for reconstructing the fusion sub‐images into fusion image .Results By comparing the fusion images by 3 groups of medical images ,this proposed algorithm was superior to other existing algorithms in the aspects of subjective visual effect and objective evaluation indicators .Conclusion The proposed algorithm of medical image fusion is rapid and accurate ,has excellent performance in the noise environment and clinical examples ,can obtain the high quality fusion im‐age and has higher clinical application value .