中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modified fast marching and level set method for medical image segmentation

文献类型:期刊论文

作者Zhu, Fuping; Tian, Jie
刊名JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY
出版日期2003
卷号11期号:4页码:193-204
关键词Digital subtraction angiography
通讯作者Tian, Jie
英文摘要In this paper, an interactive segmentation method that combines fast marching and level set method is proposed. Level set segmentation involves solving the energy-based active contour minimization problems by the computation of geodesics or minimal distance curves. First, by selecting the seed point, the fast marching method is used to extract rough boundaries of the interested object. We modified the traditional fast marching method to capture the weak edges by introducing watershed transform. Then, the contour obtained from the fast marching method mentioned above is regarded as an initialization and the level set method is used to finely tune the contour. The algorithm is demonstrated on some medical images: segmentation of knee tissues in CT image and segmentation of brain tissues in MR image. The results show that this method can remove the small regions obtained from fast marching method and converge the desired boundary.
WOS标题词Science & Technology ; Technology ; Physical Sciences
类目[WOS]Instruments & Instrumentation ; Optics ; Physics, Applied
研究领域[WOS]Instruments & Instrumentation ; Optics ; Physics
收录类别SCI
语种英语
WOS记录号WOS:000207067100001
源URL[http://ir.ia.ac.cn/handle/173211/9926]  
专题自动化研究所_09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Med Image Proc Grp, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Fuping,Tian, Jie. Modified fast marching and level set method for medical image segmentation[J]. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY,2003,11(4):193-204.
APA Zhu, Fuping,&Tian, Jie.(2003).Modified fast marching and level set method for medical image segmentation.JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY,11(4),193-204.
MLA Zhu, Fuping,et al."Modified fast marching and level set method for medical image segmentation".JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 11.4(2003):193-204.

入库方式: OAI收割

来源:自动化研究所

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