基于区域生长算法的CT序列图像分割  

CT Sequence Image Segmentation Based on Region Growing Algorithm

作　　者：潘家辉[1] 朱玲利[2] 鲍苏苏[1] 

机构地区：[1]华南师范大学软件学院,广东佛山528225 [2]洛阳师范学院信息技术学院,河南洛阳471022

出　　处：《洛阳师范学院学报》2015年第5期58-61,共4页Journal of Luoyang Normal University

基　　金：国家高技术研究发展计划(863计划)(2012AA021105);广东省中科院产学研合作研究项目(2010A090100032)

摘　　要：由于人体腹部CT图像纹理结构复杂,灰度差别特别小,边缘又很不明显,本文提出了基于区域生长法的序列图像分割算法.在提取肝脏图像时,将全部序列图像分成若干组,然后利用区域生长算法先分割出每组的第一张图片.对于本组内其余图片的分割,充分利用相邻图片的灰度相似性实现序列图像的分割.对于血管的分割,由于血管在三维空间上的连通性,采用三维区域生长算法实现血管管道的提取.实验结果表明,应用本文算法能得到准确的肝脏及血管分割结果.For the complex characteristics of medical image , a segmentation algorithm based on region growing algorithm is proposed in this paper , which is applied to segment a series of CT images .This method is implemented to segment liver CT slices .Firstly, all slices are divided into groups;the first slice of every group is segmented .Fi-nally, the other adjacent slices in every group are segmented on the basis of gray shade similarity .According to 3D connectivity of blood vessels , a 3 D region growing algorithm is applied to segment blood vessels .As the experiment results show , the segmentation results of liver image are accurate by using adaptive region growing , and this algo-rithm can provide accurate data for 3 D reconstruction and surgical simulation of liver and blood vessels .

关 键 词：图像分割 序列图像 区域生长算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]