Multimodal Medical Image Fusion Methods Based on Improved Discrete Wavelet Transform  

作　　者：XU Lei TIAN Shu-chang CUI Can MENG Qing-le YANG Rui JIANG Hong-bing WANG Feng 

机构地区：[1]Department of Medical Equipment, Nanjing First Hospital, Nanjing Medical University, Nanjing Jiang 210006, China [2]Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing Jiang 210006, China

出　　处：《中国医疗设备》2016年第6期1-6,共6页China Medical Devices

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 coefficients, where as the "region 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.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 the ＂region 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.

关 键 词：医疗设备维修模式 临床医学工程 医疗技术管理 中国医师协会 世界卫生组织 医学工程领域 医疗技术评估 临床工程师 

分 类 号：R197.39[医药卫生—卫生事业管理]