Segmentation in Echocardiographic Sequences using Shape-based Snake Model Combined with Generalized Hough Transformation |
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Authors: | Chen Sheng Yang Xin Yao Liping Sun Kun |
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Institution: | (1) Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, 200030, P.R. China;(2) Shanghai Children’s Medical Center, Shanghai Second Medical University, Shanghai, P.R. China |
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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. It means that the model not only is driven by conventional
internal and external forces, but also combines an additional constraint, the matching degree to measure the similarity between
the neighboring prior shape and the derived contour. 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. The method is particularly useful in case of the
large frame-to-frame displacement of structure such as mitral valve. As a result, the active contour can easily detect the
desirable boundaries in ultrasound images and has a high penetrability through the interference of various undesirables, such
as the speckle, the tissue-related textures and the artifacts. |
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Keywords: | echocardiographic sequence generalized Hough transformation segmentation snake template matching |
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