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
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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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