標題: A dual-snake model of high penetrability for ultrasound image boundary extraction
作者: Chen, CM
Lu, HHS
Hsiao, AT
統計學研究所
Institute of Statistics
關鍵字: boundary extraction;ultrasound images;deformable model;dual-snake model;discrete gradient glow;connected components;stability
公開日期: 1-Dec-2001
摘要: Most deformable models require the initial contour to be placed close to the boundary of the object of interest for boundary extraction of ultrasound (US) images, which is impractical in many clinical applications. To allow a distant initial contour, a new dual-snake model promising high penetrability through the interference of the noises is proposed in this paper. The proposed dual-snake model features a new far-reaching external force, called the discrete gradient flow, a connected component-weighted image force, and an effective stability evaluation of two underlying snakes. The experimental results show that, with a distant initial contour, the mean distance from the derived boundary to the desired boundary is less than 1.4 pixels, and most snake elements are within 2.7 pixels of the desired boundaries for the synthetic images with CNR greater than or equal to 1. For the clinical US images, the mean distance is less than 1.9 pixels, and most snake elements are within 3 pixels of the desired boundaries. (E-mail: chung@lotus.mc.ntu.edu.tw) (C) 2002 World Federation for Ultrasound in Medicine Biology.
URI: http://dx.doi.org/10.1016/S0301-5629(01)00484-7
http://hdl.handle.net/11536/29217
ISSN: 0301-5629
DOI: 10.1016/S0301-5629(01)00484-7
期刊: ULTRASOUND IN MEDICINE AND BIOLOGY
Volume: 27
Issue: 12
起始頁: 1651
結束頁: 1665
Appears in Collections:Articles