一种基于图像分割的医学图像融合方法  

A Medical Image Fusion Method Based on Image Segment

作　　者：曲桂红[1] 张大力[1] 阎平凡[1] 

机构地区：[1]清华大学自动化系,100084

出　　处：《北京生物医学工程》2003年第1期1-4,共4页Beijing Biomedical Engineering

基　　金：北京市科技新星计划基金 (195 18710 0 7)

摘　　要：提出一种新的图像融合算法 ,用于临床治疗计划设计时对病灶的确定。文中采用改进的Canny算子对病灶边缘提取方法进行了研究 ,根据局部直方图计算对非目标轮廓进行抑制。通过对图像配准建立空间映射关系 ,将一种图像中的病灶边缘特征与其它相应的图像进行叠加 ,获得具有病灶边缘和解剖结构特征的融合图像。本文的融合算法简单、直观 。A novel method for medical image fusion is proposed. It can be used to define lesion focus during treatment planning. Edge detection is studied by using an improved Canny edge detector, and threshold for non interesting region is made by calculating local image histogram. Space mapping is built by image registration. Features of lesion focus in an image can then be overlaid with other corresponding images and a fused image with features of edge of lesion focus and anatomic structure can be obtained. Results of experiments showed that the proposed method is simple and intuitive, and can be used in clinical application very well.

关 键 词：医学图像融合 图像配准 CANNY算子 图像分割 融合算法 

分 类 号：R445[医药卫生—影像医学与核医学] TN911.73[医药卫生—诊断学]