Multimodal Medical Image Fusion Methods Based on Improved Discrete Wavelet Transform

摘要

Objective This paper proposed a novel algorithm of discrete wavelet transform (DWT) which is used for multimodal medical image fusion.Methods The source medical images are initially transformed by DWT followed by fusing low and high frequency sub-images. Then, the “coefficient absolute value” that can provide clear and detail parts is adapted to fuse high-frequency coefifcients, where as the “region energy ratio” which can efifciently preserve most information of source images is employed to fuse low-frequency coefifcients. Finally, the fused image is reconstructed by inverse wavelet transform.Results Visually and quantitatively experimental results indicate that the proposed fusion method is superior to traditional wavelet transform and the existing fusion methods.Conclusion The proposed method is a feasible approach for multimodal medical image fusion which can obtain more efifcient and accurate fusions results even in the noise environment.