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	Learning shape statistics for hierarchical 3D medical image segmentation
	ZhangWuxia ; YuanYuan ; LiXuelong ; YanPingkun
	2011
会议名称	2011 18th ieee international conference on image processing, icip 2011
会议日期	september 11, 2011 - september 14, 2014
会议地点	brussels, belgium
关键词	3D image segmentation shape modeling manifold learning surface patch shape statistics
页码	2189-2192
通讯作者	zhang wuxia
英文摘要	accurate image segmentation is important for many medical imaging applications, whereas it remains challenging due to the complexity in medical images, such as the complex shapes and varied neighbor structures. this paper proposes a new hierarchical 3d image segmentation method based on patient-specific shape prior and surface patch shape statistics (surpass) model. in the segmentation process, a coarse-to-fine, two-stage strategy is designed, which contains global segmentation and local segmentation. in the global segmentation stage, patient-specific shape prior is estimated by using manifold learning techniques to achieve the overall segmentation. in the second stage, surpass is computed to solve the problem of poor segmentation at certain surface patches. the effectiveness of the proposed 3d image segmentation method has been demonstrated by the experiments on segmenting the prostate from a series of mr images.
收录类别	EI ; CPCI
产权排序	1
会议主办者	ieee; ieee signal processing society
会议录	proceedings - international conference on image processing, icip
会议录出版者	ieee computer society
会议录出版地	445 hoes lane - p.o.box 1331, piscataway, nj 08855-1331, united states
语种	英语
ISSN号	1522-4880
内容类型	会议论文
源URL	[http://ir.opt.ac.cn/handle/181661/20152]
专题	西安光学精密机械研究所_研究生部
推荐引用方式 GB/T 7714	ZhangWuxia,YuanYuan,LiXuelong,et al. Learning shape statistics for hierarchical 3D medical image segmentation[C]. 见:2011 18th ieee international conference on image processing, icip 2011. brussels, belgium. september 11, 2011 - september 14, 2014.

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