Chinese Journal of Tissue Engineering Research ›› 2010, Vol. 14 ›› Issue (35): 6544-6546.doi: 10.3969/j.issn.1673-8225.2010.35.021

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Segmentation of interesting targets in liver cancer image

Shi Yan-xin   

  1. Department of Mathematics and Physics, Xi’an Technology University, Xi’an  710032, Shaanxi Province, China
  • Online:2010-08-27 Published:2010-08-27
  • About author:Shi Yan-xin☆, Doctor, Senior engineer, Department of Mathematics and Physics, Xi’an Technology University, Xi’an 710032, Shaanxi Province, China shiyxx001@sina.com
  • Supported by:

    Doctoral Program Foundation of Institutions of Higher Education of China, No. 20060699032*

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Abstract:

BACKGROUND: Snake model is a new approach for medical image segmentation, which can overcome the defects of the traditional medical image segmentation.
OBJECTIVE: To propose an improved B-spline Snake model for image segmentation based on the features of liver cancer CT images.
METHEDS: The abdominal CT image was preprocessed to obtain initial outline of liver cancer parts, and then, closed B-spline Snake model was constructed. Finally, deformed model image of accurate segmentation was obtained using the MMSE to minisize extemal force.
RESULTS AND CONCLUSION: The improved B-Snake segmentation algorithm not only reduces noises, but also converge the Snake curve to target contour edge. It is an effective method for segmenting the interesting target of liver CT images.

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