首页 | 本学科首页   官方微博 | 高级检索  
     

An eSnake model for medical image segmentation
引用本文:Lv Hongyu1,YUAN Kehong2,BAO Shanglian1,ZU Donglin1 and DUAN Chaijie1*(1. The Research Center for Tumor Diagnosis and Therapeutical Physics & Beijing Key Laboratory of Medical Physics and Engineering,Beijing 100871,China, 2. Key Laboratory of Pure and Applied Mathematics,School of Mathematical Sciences,Peking University,Beijing 100871,China). An eSnake model for medical image segmentation[J]. 自然科学进展(英文版), 2005, 15(5). DOI: 10.1080/10020070512331342340
作者姓名:Lv Hongyu1  YUAN Kehong2  BAO Shanglian1  ZU Donglin1 and DUAN Chaijie1*(1. The Research Center for Tumor Diagnosis and Therapeutical Physics & Beijing Key Laboratory of Medical Physics and Engineering  Beijing 100871  China   2. Key Laboratory of Pure and Applied Mathematics  School of Mathematical Sciences  Peking University  Beijing 100871  China)
作者单位:1. The Research Center for Tumor Diagnosis and Therapeutical Physics & Beijing Key Laboratory of Medical Physics and Engineering,Beijing 100871,China; 2. Key Laboratory of Pure and Applied Mathematics,School of Mathematical Sciences,Peking University,Beijing 100871,China
基金项目:国家自然科学基金,北京市自然科学基金
摘    要:Deformable model is a curve or a surface drivenpartial differential equations (PDE) method for imagesegmentation and pattern recognition. Two types ofdeformable models have been developed previously.One is the parametric deformable model proposed byKass et al.[1], which formulates the curve explicitlyin the parametric form. The other is the geometricdeformable model, which implicitly characterizes thecurve by a level set function developed by Osher,Sethian and implement…


An eSnake model for medical image segmentation
L Hongyu,YUAN Kehong,Bao Shanglian,ZU Donglin,DUAN Chaijie. An eSnake model for medical image segmentation[J]. Progress in Natural Science, 2005, 15(5). DOI: 10.1080/10020070512331342340
Authors:L Hongyu  YUAN Kehong  Bao Shanglian  ZU Donglin  DUAN Chaijie
Affiliation:1. The Research Center for Tumor Diagnosis and Therapeutical Physics & Beijing Key Laboratory of Medical Physics and Engineering,Beijing 100871, China
2. Key Laboratory of Pure and Applied Mathematics, School of Mathematical Sciences, Peking University, Beijing 100871, China
Abstract:A novel scheme of external force for detecting the object boundary of medical image based on Snakes (active contours)is introduced in the paper. In our new method, an electrostatic field on a template plane above the original image plane is designed to form the map of the external force. Compared with the method of Gradient Vector Flow (GVF), our approach has clear physical meanings. It has stronger ability to conform to boundary concavities, is simple to implement, and reliable for shape segmenting. Additionally, our method has larger capture range for the external force and is useful for medical image preprocessing in various applications. Finally, by adding the balloon force to the electrostatic field model, our Snake is able to represent long tube-like shapes or shapes with significant protrusions or bifurcations, and it has the specialty to prevent Snake leaking from large gaps on image edge by using a two-stage segmentation technique introduced in this paper. The test of our models proves that our methods are robust, precise in medical image segmentation.
Keywords:image segmentation  eSnake  external force  electrostatic field  balloon force
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号