Adaptive Shape Prior Constrained Level Sets for Bladder MR 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

	Adaptive Shape Prior Constrained Level Sets for Bladder MR Image Segmentation
	Qin, Xianjing 1; Li, Xuelong2 ; Liu, Yang 3; Lu, Hongbing 3; Yan, Pingkun 1
刊名	ieee journal of biomedical and health informatics
	2014-09-01
卷号	18 期号:5 页码:1707-1716
关键词	Adaptive shape prior (ASP) coupled level sets directional gradient segmentation
ISSN号	2168-2194
产权排序	1
英文摘要	three-dimensional bladder wall segmentation for thickness measuring can be very useful for bladder magnetic resonance (mr) image analysis, since thickening of the bladder wall can indicate abnormality. however, it is a challenging task due to the artifacts inside bladder lumen, weak boundaries in the apex and base areas, and complicated outside intensity distributions. to deal with these difficulties, in this paper, an adaptive shape prior constrained directional level set model is proposed to segment the inner and outer boundaries of the bladder wall. in addition, a coupled directional level set model is presented to refine the segmentation by exploiting the prior knowledge of region information and minimum thickness. with our proposed method, the influence of the artifacts in the bladder lumen and the complicated outside tissues surrounding the bladder can be appreciably reduced. furthermore, the leakage on the weak boundaries can be avoided. compared with other related methods, better results were obtained on 11 patients' 3-d bladder mr images by using the proposed method.
WOS标题词	science & technology ; technology ; life sciences & biomedicine
类目[WOS]	computer science, information systems ; computer science, interdisciplinary applications ; mathematical & computational biology ; medical informatics
研究领域[WOS]	computer science ; mathematical & computational biology ; medical informatics
关键词[WOS]	active contours ; evolution ; wall ; ct
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000341986600021
公开日期	2015-03-18
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/22350]
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, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 2.Chinese Acad Sci, Ctr Opt Imagery Anal & Learning, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China 3.Fourth Mil Med Univ, Dept Biomed Engn Comp Applicat, Xian 710032, Peoples R China
推荐引用方式 GB/T 7714	Qin, Xianjing,Li, Xuelong,Liu, Yang,et al. Adaptive Shape Prior Constrained Level Sets for Bladder MR Image Segmentation[J]. ieee journal of biomedical and health informatics,2014,18(5):1707-1716.
APA	Qin, Xianjing,Li, Xuelong,Liu, Yang,Lu, Hongbing,&Yan, Pingkun.(2014).Adaptive Shape Prior Constrained Level Sets for Bladder MR Image Segmentation.ieee journal of biomedical and health informatics,18(5),1707-1716.
MLA	Qin, Xianjing,et al."Adaptive Shape Prior Constrained Level Sets for Bladder MR Image Segmentation".ieee journal of biomedical and health informatics 18.5(2014):1707-1716.