改进的体素生长算法在心脏局部血管提取中的应用  

Application of Improved Voxels Growth Algorithm in Cardiac Local Vascular Extraction

作　　者：任国印[1] 吕晓琪[1] 杨楠 喻大华[1] 张晓峰 周涛 Ren Guoyin;Lv Xiaoqi;Yang Nan;Yu Dahua;Zhang Xiaofeng;Zhou Tao(School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China;Baotou Medical College, Baotou, Inner Mongolia 014010, China)

机构地区：[1]内蒙古科技大学信息工程学院,内蒙古包头014010 [2]包头医学院,内蒙古包头014010

出　　处：《激光与光电子学进展》2018年第6期337-344,共8页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(61771266;81571753);包头市青年创新人才项目;赛尔互联网创新项目;内蒙古科技大学校内创新基金(2014QDL045)

摘　　要：为了对传统体素生长算法加以改进,提取心脏局部血管,在三维心脏组织的感兴趣局部血管上勾画初始体素种子点,将初始体素的相邻体素中灰度直方图相似的体素添加到生长体素集合中,作为新的种子点按照生长规则继续寻找相似体素。为了防止体素生长过程中出现泄漏,设置终止规则限制体素生长的边界,进而找到感兴趣血管包括的全部体素。通过对体素生长算法的生长规则和终止条件的进一步改进,在一定程度上解决了传统体素生长算法交互性差、运行不实时等问题,测试结果表明该算法的准确度高、稳健性好,是心血管疾病临床治疗过程中有效的影像辅助工具。The traditional algorithm of voxels growth is improved to ultimately achieve the purpose of extracting the local blood vessels of the heart. The initial voxels seed spots are delineated on the local blood vessels of interest within the three-dimensional model of the heart. The initial voxels set adds new voxels, which are similar to the initial voxels set in terms of their gray-scale histogram. Newly added voxels as new seed spots continue to look for similar voxels according to growth rules. In order to prevent leakage problems during voxel growth, we sets the termination rule to limit the boundaries of voxels growth, and discover all the voxels included in the blood vessels. The improvement of growth rules and termination conditions of the voxels growth algorithm, to a certain extent, solves certain problems of the traditional voxels growth algorithm such as poor interaction and not real-time running. The algorithm has the advantages of high accuracy and good robustness, hence it is proved to be an effective imaging aid tool for the clinical treatment of cardiovascular diseases.

关 键 词：医用光学 体素生长算法 交互式分割 心血管系统 感兴趣区域 

分 类 号：K445.3[历史地理—历史学]