Chinese Journal of Tissue Engineering Research ›› 2012, Vol. 16 ›› Issue (39): 7298-7301.doi: 10.3969/j.issn.2095-4344.2012.39.017

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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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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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