Segmentation in echocardiographic sequences using shape-based snake model

Authors:
Chen Sheng;Yang Xin;Yao Liping;Sun Kun
Affiliations:
Institution of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, P.R. China;Institution of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, P.R. China;Shanghai Children's Medical Center, Shanghai Second Medical University, Shanghai, P.R. China;Shanghai Children's Medical Center, Shanghai Second Medical University, Shanghai, P.R. China
Venue:
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Year:
2005

Citing 2
Cited 0

A Robust Snake Implementation; A Dual Active Contour

IEEE Transactions on Pattern Analysis and Machine Intelligence
Snakes, shapes, and gradient vector flow

IEEE Transactions on Image Processing

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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. 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.