北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2001, Vol. 24 ›› Issue (3): 1-5.

• 学术论文 •    下一篇

基于模糊的核医学心脏门控图像左心室边缘自动检测

赵衍运, 蔡安妮, 孙景鳌   

  1. 北京邮电大学电信工程学院, 北京 100876
  • 收稿日期:2000-11-24 出版日期:2001-10-10
  • 作者简介: 赵衍运(1964—),女,讲师.
  • 基金资助:
     

A Fuzzy-Based Automatic Cardiac LV BoundaryDetection of Nuclear Medical Images

ZHAO Yan-yun, CAI An-ni, SUN Jing-ao   

  1. Telecommunication Engineering School, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2000-11-24 Online:2001-10-10
  • Supported by:
     

摘要: 提出一种自动检测心脏门控图像左心室边缘的算法. 该算法依据核医学心脏门控图像灰度分布的特点, 采用模糊增强的方法增强图像的左心室区域, 利用增强后的图像实现左心室边缘自动检测. 该算法对于左右心室分得不开的核医学心脏门控图像也能正确检测出左心室的边缘.

关键词: 图像检测, 模糊增强, 边缘检测

Abstract: A fuzzy-based automatic boundary detection algorithm for cardiac left ventricular (LV) of nuclear medical images is described.The proposed method is a fuzzy-base approach in which the images are enhanced with fuzzy algorithm according to the gray distribution of gated cardiac images of nuclear medicine.Then the boundary of LV are detected automatically by using the enhanced images.The algorithm is effective even if the left ventricular and right ventricular of the gated cardiac images are not apart from each other very well.

Key words: image detection, fuzzy enhancement, boundary detection

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