中国医疗设备2017，Vol.32Issue(12)：63-67,5.DOI:10.3969/j.issn.1674-1633.2017.12.015
基于NSCT的多模态医学图像融合算法的研究
A Novel Method for Multimodal Medical Image Fusion Based on Non-Subsampled Contourlet Transform
摘要
Abstract
Objective In this paper, a novel method for the fusion of multimodal medical images is proposed based on non-subsampled contourlet transform (NSCT). Methods Firstly, the source medical images were initially transformed by NSCT followed by fusing low and high frequency sub-bands. Secondly, the low frequency components of NSCT were fused by the maximum local mean scheme and high frequency components were fused by the maximum local variance scheme. Thirdly, the use of variance enhanced the fusion scheme by preserving the edges in the images. These combinations significantly preserved more details in the source images and improved the quality of the fused images. Finally, the fused image was reconstructed by inverse non-subsampled contourlet transform. Results The efficiency of the suggested technique was carried out by fusion experiments on 6 different multimodality medical image pairs, visually and quantitatively experimental results indicated that the percentage improvement in entropy, mean, standard deviation and edge strength in proposed method were 0~40%, 3%~42%, 1%~42%, and 0.4%~48%compared to conventional methods for 6 pairs of medical images. Conclusion The proposed method can obtain more efficient and accurate fusion results. It can provide better robustness, superiority and become a feasible image fusion algorithm.关键词
非下采样轮廓波变换/多模态图像融合/融合规则/医学影像Key words
non subsampled contourlet transform/multimodal medical image fusion/fusion rule/medical imaging分类
信息技术与安全科学引用本文复制引用
徐磊,曹艳..基于NSCT的多模态医学图像融合算法的研究[J].中国医疗设备,2017,32(12):63-67,5.基金项目
国家自然科学基金(81271604). （81271604）
