Chinese Journal of Tissue Engineering Research ›› 2011, Vol. 15 ›› Issue (43): 8019-8022.doi: 10.3969/j.issn.1673-8225.2011.43.010

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Application of carotid artery MR images segmentation and three-dimensional reconstruction in locating carotid atherosclerotic lesions

Shao Hui-yan1, Qin Hai-qiang2, Hou Yuan-yuan1, Zhou Ping1, Xia Hong1   

  1. 1School of Biomedical Engineering, Capital Medical University, Beijing  100069, China
    2Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing  100050, China
  • Received:2011-04-03 Revised:2011-08-10 Online:2011-10-22 Published:2011-10-22
  • Contact: Zhou Ping, Doctor, Associate professor, School of Biomedical Engineering, Capital Medical University, Beijing 100069, China eduhelp@163.com
  • About author:Shao Hui-yan, School of Biomedical Engineering, Capital Medical University, Beijing 100069, China yanword@sina.com
  • Supported by:

    the Clinical and Basic Cooperation Foundation of Capital Medical University, No. 10JL51*

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Abstract:

BACKGROUND: The technology of three-dimensional (3D) reconstruction of medical images has been playing an increasingly important role in clinical diagnosis and research. The 3D reconstruction technique is rather complex, with the image segmentation being the first and most important step.
OBJECTIVE: To explore the carotid artery MR image segmentation and 3D reconstruction methods for its application in locating carotid atherosclerotic lesions.
METHODS: The 3D TOF sequence images were chosen and segmented by the threshold segmentation based on maximum entropy, which was followed by the mathematical morphological method to take the carotid artery blood from the background successfully. Finally, the 3D model of the carotid blood was produced with the aid of the Mimics software and the location of carotid atherosclerotic lesions was identified easily.
RESULTS AND CONCLUSION: For the 3D TOF sequence images segmentation, the threshold segmentation based on maximum entropy is better and suitable. Besides, the mathematical morphological method takes responsibility for the following segmentation. The 3D model of carotid blood is of great help in locating carotid atherosclerotic lesions. 

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