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一种基于先验知识的视网膜血管宽度测量方法 被引量:5

Measurement of retinal vessel widths based on prior knowledge
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摘要 利用已获得的血管网络分割结果,提出了一种基于先验知识的视网膜血管宽度测量方法。该方法结合血管骨架的空间位置信息和方向信息,采用改进的定向局部对比度方法检测出骨架线两侧的血管边界像素,从而计算出骨架线上各像素点的血管直径宽度,实验对不同形态结构的血管段进行了仿真,结果证明了该方法的有效性。 A new method for measurement retinal vessel widths based on prior knowledge is proposed. First, the location information and the direction information of retinal vessel skeleton are extracted from the segmented results. Then the modified directional local contrast method is applied to detect the vessel boundary, and last the width of retinal vessel diameter is obtained by computed. The simulation has been implemented in different morphological structure vascular segments, and the experiment results demonstrate the validity of the method.
作者 姚畅 陈后金
出处 《中国科技论文在线》 CAS 2009年第1期64-68,共5页
基金 高等学校博士学科点专项科研基金项目(WC105002) 国家自然科学基金项目(60872081)
关键词 视网膜血管 血管宽度测量 血管分割 定向局部对比度 retinal blood vessel vessel width measurement vessel segmentation directional local contrast
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  • 1Sun Y. Automated identification of vessel contours in coronary arteriograms by an adaptive tracking algorithm[J]. IEEE Transactions on Medical Imaging, 1989,8(1) :78 - 88.
  • 2Tolias Y A, Panas S M. A fuzzy vessel tracking algorithm for retinal images based Oil fuzzy clustering[ J]. IEEE Transactions on Medical Imaging, 1998,17 (2) : 263 - 273.
  • 3Hoover A, Kouznetsova V, and Goldbaum M. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response [ J ]. IEEE Transactions on Medical Imaging,2000,19(3) :203 - 210.
  • 4Jiang X Y, Mojon D. Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images[ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003,25( 1 ) : 131 - 137.
  • 5Huang S Y, Zhang E H. A method for segmentation of retinal image vessels[ A ]. Proceedings of the 6th World Congress on Intelligent Control and Automation [ C ]. New York: IEEE, 2006.9673 - 9676.
  • 6Otsu N. A threshold selection method from gray-level histograms[ J]. IEEE Transactions on Systems,Man, and Cybernetics, 1979,9(1) :62 - 66.
  • 7Fan Y,Jiang T Z,David J E. Volumetric segmentation of brain images using parallel genetic algorithms[J]. IEEE Transactions on Medical Imaging, 2002,21 (8) : 904 - 909.
  • 8Chaudhuri S, Chatterjee S, Katz N, et al. Detection of blood vessels in retinal images using two-dimensional matched filters [ J]. IEEE Transactions on Medical Imaging, 1989,8(3) :263 - 269.

共引文献18

同被引文献39

  • 1陆建荣,斯海臣,郁道银.冠状动脉血管直径测量方法的研究[J].中国生物医学工程学报,2005,24(4):510-512. 被引量:8
  • 2Fraz M, Remagnino P, Hoppe A, et al. Blood vessel segmentation methodologies in retinal images : a survey. Computer Methods and Pro- grams in Biomedicine. Computer methods and programs in biomedi- cine, 2012 ; 8 : 407-433.
  • 3Faust E Ng, Ng K H, Suri J. Algorithms for the automated detection of diabetic retinopathy using digital fundus images: a review. Journal of Medical Systems, 2010; 36:1-13.
  • 4Chaudhuri S, Chatterjee S, Katz N, et al. Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans- actions on Medical Images,1989; 8:263-269.
  • 5Staal J, Abramoff M D, Niemeijer M, et al. Ridge-based vessel seg- mentationin color images of the retina. IEEE Transactions on Medical Imaging, 2004; 23(4): 501-509.
  • 6Mendonqa M, Campilho A. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruc- tion. IEEE Transactions on Medical Imaging, 2006; 25 (9) : 1200- 1213.
  • 7Ricci E, Perfetti R. Retinal blood vessel segmentation using line op- erators and support vector classification. IEEE Transactions on Medi- cal Imaging, 2007 ;26(10) : 1357-1365.
  • 8Nguyen U T V, Bhuiyan A, Park L A F. An effective retinal blood vessel segmentation method using multi-scale line detection. Pattern Recognition, 2013 ;46 : 703 -715.
  • 9Marin D, Aquino A, Gegundez-Arias M E, et al. A new supervised method for blood vessel segmentation in retinal images by using gray- level and moment invariants-based fealures. IEEE Transactions on Medical Imaging, 2011 ;30:146-158.
  • 10Zana F, Klein J C. Segmentation of vessel-like patterns using math- ematical morphology and curvature evaluation. IEEE Transactions on Medical Imaging, 2001 ; 11 (7) : 1111-1119.

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