Segmentation in Echocardiographic Sequences Using Shape-Based Snake Model

  • Chen Sheng
  • Yang Xin
  • Yao Liping
  • Sun Kun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

A novel method for segmentation of cardiac structures in temporal echocardiographic sequences based on the snake model is presented. The method is motivated by the observation that the structures of neighboring frames have consistent locations and shapes that aid in segmentation. To cooperate with the constraining information provided by the neighboring frames, we combine the template matching with the conventional snake model. Furthermore, in order to auto or semi-automatically segment the sequent images without manually drawing the initial contours in each image, generalized Hough transformation (GHT) is used to roughly estimate the initial contour by transforming the neighboring prior shape. As a result, the active contour can easily detect the desirable boundaries in ultrasound images.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Chen Sheng
    • 1
  • Yang Xin
    • 1
  • Yao Liping
    • 2
  • Sun Kun
    • 2
  1. 1.Institution of Image Processing and Pattern RecognitionShanghai Jiaotong UniversityShanghaiP.R. China
  2. 2.Shanghai Children’s Medical CenterShanghai Second Medical UniversityShanghaiP.R. China

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