標題: Cell-based dual snake model: A new approach to extracting highly winding boundaries in the ultrasound images
作者: Chen, CM
Lu, HHS
Huang, YS
統計學研究所
Institute of Statistics
關鍵字: boundary extraction;ultrasound images;deformable model;dual snake model;cell-based deformation;watershed transform;multiscale Gaussian filters
公開日期: 1-Aug-2002
摘要: Two common deficiencies of most conventional deformable models are the need to place the initial contour very close to the desired boundary and the incapability of capturing a highly winding boundary for sonographic boundary extraction. To remedy these two deficiencies, a new deformable model (namely, the cell-based dual snake model) is proposed in this paper. The basic idea is to apply the dual snake model in the cell-based deformation manner. While the dual snake model provides an effective mechanism allowing a distant initial contour, the cell-based deformation makes it possible to catch the winding characteristics of the desired boundary. The performance of the proposed cell-based dual snake model has been evaluated on synthetic images with simulated speckles and on the clinical ultrasound (US) images. The experimental results show that the mean distances from the derived to the desired boundary points are 0.9 +/- 0.42 pixels and 1.29 +/- 0.39 pixels for the synthetic and the clinical US images, respectively.
URI: http://dx.doi.org/10.1016/S0301-5629(02)00531-8
http://hdl.handle.net/11536/28615
ISSN: 0301-5629
DOI: 10.1016/S0301-5629(02)00531-8
期刊: ULTRASOUND IN MEDICINE AND BIOLOGY
Volume: 28
Issue: 8
起始頁: 1061
結束頁: 1073
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