Chinese Journal of Tissue Engineering Research ›› 2011, Vol. 15 ›› Issue (30): 5607-5610.doi: 10.3969/j.issn.1673-8225.2011.30.024

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Ultrasound image segmentation based on region-growing algorithm for reflection of vascular lesions

Shui Xue, Liu Qi   

  1. Department of Medical Information Engineering, Sichuan University, Chengdu  610065, Sichuan Province, China
  • Received:2011-04-11 Revised:2011-06-18 Online:2011-07-23 Published:2011-07-23
  • Contact: Liu Qi, Doctor, Associate professor, Master’s supervisor, Department of Medical Information Engineering, Sichuan University, Chengdu 610065, Sichuan Province, China liuqii@scu.edu.cn
  • About author:Shui Xue★, Studying for master’s degree, Department of Medical Information Engineering, Sichuan University, Chengdu 610065, Sichuan Province, China Shuixue111@126.com
  • Supported by:

    the National Natural Science Foundation of China, No. 30700781*

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Abstract:

BACKGROUND: It can reflect pathological changes of the blood vessel through the analysis of vascular images in ultrasound.
OBJECTIVE: Based on region-growing algorithm to segment ultrasound images and analyze the boundary point relative displacement
METHODS: Firstly, we decompressed video images into frames, transformed dynamic images into static, and then applied Gabor filtering and adaptive histogram quantization to reduce speckle noise in ultrasound images and segmented the images through region-growing algorithm. Combined with open and close operation and sobel edge detection, we have finally extracted two boundaries of the blood.
RESULTS AND CONCLUSION: The method we proposed obtains the quite good segmentation result, and the method of region-growing meets the requirement of real-time in terms of processing speed. Furthermore, the boundary point relative displacement curve can reflect pathological changes of the blood vessel to some extent, which lays a solid foundation for researches on morphology of the blood vessel and haemodynamics and has important meanings for pathophysiology. 　

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