Chinese Journal of Tissue Engineering Research ›› 2012, Vol. 16 ›› Issue (39): 7307-7311.doi: 10.3969/j.issn.2095-4344.2012.39.019

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Detection of the invisible control points by least square method

Zhang Bin1, Bi Yan-ping1, Zhao Li-jing2, Dong Bing-chao1   

  1. 1Department of Life Sciences and Technology, Xinxiang Medical College, Medical Information and Image Department, Xinxiang 453003, Henan Province, China
    2School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China
  • Received:2012-01-13 Revised:2012-03-20 Online:2012-09-23 Published:2012-09-23
  • Contact: Dong Bing-chao, Doctor, Associate professor, Department of Life Sciences and Technology, Xinxiang Medical College, Medical Information and Image Department, Xinxiang 453003, Henan Province, China bchdong@163.com
  • About author:Zhang Bin★, Master, Department of Life Sciences and Technology, Xinxiang Medical College, Medical Information and Image Department ,Xinxiang 453003, Henan Province, China zhangbin1898@gmail.com

Abstract:

BACKGROUND: Digital subtraction angiography system uses the X-ray image intensifier as an image detector and the geometric distortion exists between the real image and the obtained image.
OBJECTIVE:To correct the geometric distortion of digital subtraction angiography image in order to achieve three-dimensional reconstruction of cerebral blood vessels.
METHODS: Based on mathematical morphology to detect visual control point, a method of least squares was used in this article to process the images in order to gain the coordinates of the invisible control points. The obtained 672 control points were used to do the nonlinear partial correction on the original image.
RESULTS AND CONCLUSION: Experiment results showed that there were better results in the edge correction without distortion in arc region basically. The method of least squares curve achieved high accuracy control points and good image correction results, it could be used in distortion correction of digital subtraction angiography images and provided guarantee for a subsequent three-dimensional reconstruction.

CLC Number: