Global structure constrained local shape prior estimation for medical image segmentation

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Global structure constrained local shape prior estimation for medical image segmentation
	Yan, Pingkun 1; Zhang, Wuxia 1; Turkbey, Baris 2; Choyke, Peter L.2; Li, Xuelong1
刊名	computer vision and image understanding
	2013-09-01
卷号	117 期号:9 页码:1017-1026
关键词	Target-oriented shape modeling Manifold learning Manifold assumption Medical image segmentation
ISSN号	1077-3142
产权排序	1
英文摘要	organ shape plays an important role in clinical diagnosis, surgical planning and treatment evaluation. shape modeling is a critical factor affecting the performance of deformable model based segmentation methods for organ shape extraction. in most existing works, shape modeling is completed in the original shape space, with the presence of outliers. in addition, the specificity of the patient was not taken into account. this paper proposes a novel target-oriented shape prior model to deal with these two problems in a unified framework. the proposed method measures the intrinsic similarity between the target shape and the training shapes on an embedded manifold by manifold learning techniques. with this approach, shapes in the training set can be selected according to their intrinsic similarity to the target image. with more accurate shape guidance, an optimized search is performed by a deformable model to minimize an energy functional for image segmentation, which is efficiently achieved by using dynamic programming. our method has been validated on 2d prostate localization and 3d prostate segmentation in mri scans. compared to other existing methods, our proposed method exhibits better performance in both studies. (c) 2013 elsevier inc. all rights reserved.
WOS标题词	science & technology ; technology
类目[WOS]	computer science, artificial intelligence ; engineering, electrical & electronic
研究领域[WOS]	computer science ; engineering
关键词[WOS]	dimensionality reduction ; models ; objects ; space ; mri
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000321724300005
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/23184]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	1.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China 2.NCI, NIH, Bethesda, MD 20892 USA
推荐引用方式 GB/T 7714	Yan, Pingkun,Zhang, Wuxia,Turkbey, Baris,et al. Global structure constrained local shape prior estimation for medical image segmentation[J]. computer vision and image understanding,2013,117(9):1017-1026.
APA	Yan, Pingkun,Zhang, Wuxia,Turkbey, Baris,Choyke, Peter L.,&Li, Xuelong.(2013).Global structure constrained local shape prior estimation for medical image segmentation.computer vision and image understanding,117(9),1017-1026.
MLA	Yan, Pingkun,et al."Global structure constrained local shape prior estimation for medical image segmentation".computer vision and image understanding 117.9(2013):1017-1026.