Multimodal Medical Image Fusion Methods Based on Improved Discrete Wavelet Transform
(0) 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 coefficients,where as theregion energy ratio which can efficiently preserve most information of source images is employed to fuse low-frequency coefficients.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 efficient and accurate fusions results even in the noise environment.
discrete wavelet transform multimodal image fusion fusion rule
Lei Xu Shu-chang Tian Can Cui Qing-le Meng Rui Yang Hong-bing Jiang Feng Wang
Department of Medical Equipment, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006,J
国际会议
杭州
英文
19-25
2015-10-21（万方平台首次上网日期，不代表论文的发表时间）