中国组织工程研究

中国组织工程研究 ›› 2012, Vol. 16 ›› Issue (39): 7298-7301.doi: 10.3969/j.issn.2095-4344.2012.39.017

• 骨与关节图像与影像 bone and joint imaging • 上一篇    下一篇

基于双源CT图像的冠状动脉分割

黎丽华，黄岳山，杨荣骞，吴效明   

  1. 华南理工大学生物科学与工程学院生物医学工程系，广东省广州市 510006
  • 收稿日期:2012-02-20 修回日期:2012-03-19 出版日期:2012-09-23 发布日期:2012-09-23
  • 通讯作者: 杨荣骞，博士，讲师，华南理工大学生物科学与工程学院生物医学工程系，广东省广州市 510006 bmeyrq@gmail.com
  • 作者简介:黎丽华★，女，1987年生，广东省江门市人，汉族，华南理工大学在读硕士，主要从事医学图像处理方面的研究。 stljm6@yahoo.com.cn

Segmentation of coronary artery from dual-source CT images

Li Li-hua, Huang Yue-shan, Yang Rong-qian, Wu Xiao-ming   

  1. Department of Biomedical Engineering, School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, Guangdong Province, China
  • Received:2012-02-20 Revised:2012-03-19 Online:2012-09-23 Published:2012-09-23
  • Contact: Yang Rong-qian, Doctor, Lecturer, Department of Biomedical Engineering, School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, Guangdong Province, China bmeyrq@gmail.com
  • About author:Li Li-hua★, Studying for master’s degree, Department of Biomedical Engineering, School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, Guangdong Province, China stljm6@yahoo.com.cn

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710

被引次数

1

摘要：

背景：在计算机辅助下，从双源CT图像中把三维冠状动脉分割出来能为其定量评价提供基础。但冠状动脉的三维形态复杂多变，且其管径细小，因而实现冠状动脉的高精度分割是一项有挑战性的课题。
目的：解决冠状动脉难以实现高精度分割的问题。
方法：采用三步数据处理策略实现冠状动脉分割。先采用阈值方法对三维双源CT图像进行预分割；然后，采用交互式的策略分割出与主动脉相连的左、右冠状动脉始端；最后，根据冠状动脉始端的位置，利用形态学方法和三维断层图像相邻层间的关系分割出三维冠状动脉。
结果与结论：提出的基于形态学与断层图像层间关系的分割方法能较精确地从双源CT图像中分割出左、右冠状动脉，说明该方法适用于三维冠状动脉的分割。

关键词: 冠状动脉, 双源CT, 形态学, 分割, 断层图像

Abstract:

BACKGROUND: Segmenting the three-dimensional coronary artery from dual-source CT images aided by computer can provide the basis for quantitative evaluation. However, the complicated three-dimensional shape and narrowness of coronary artery make it a challenging task to accurately segment the coronary artery.
OBJECTIVE: To solve accurate coronary artery segmentation problem.
METHODS: A three-step data processing strategy was used to achieve coronary artery segmentation. The three-dimensional dual-source CT images were first pre-segmented with threshold method. Then, the origins of left and right coronary artery which were connected to aorta were segmented using an interaction method. Finally, according to the location of coronary artery’s origin, three-dimensional coronary artery was segmented using a method based on morphology and neighboring connection relationship between slice images.
RESULTS AND CONCLUSION: The proposed approach based on morphology and connection relatioship between slice images could accurately segment the left and right coronary artery from dual-source CT images. It suggests that the proposed approach is adequate for segmenting three-dimensional coronary artery.

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