Groupwise registration of MR brain images with tumors

doi:10.1088/1361-6560/aa7c41

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 机器人视觉团队

	Groupwise registration of MR brain images with tumors
	Tang, Zhenyu 1; Wu, Yihong2 ; Fan, Yong 3
刊名	PHYSICS IN MEDICINE AND BIOLOGY
	2017-09-07
卷号	62 期号:17 页码:8853-8868
关键词	Groupwise Image Registration Image Inpainting Brain Tumor Images
DOI	10.1088/1361-6560/aa7c41
文献子类	Article
英文摘要	A novel groupwise image registration framework is developed for registering MR brain images with tumors. Our method iteratively estimates a normal-appearance counterpart for each tumor image to be registered and constructs a directed graph (digraph) of normal-appearance images to guide the groupwise image registration. Particularly, our method maps each tumor image to its normal appearance counterpart by identifying and inpainting brain tumor regions with intensity information estimated using a low-rank plus sparse matrix decomposition based image representation technique. The estimated normal-appearance images are groupwisely registered to a group center image guided by a digraph of images so that the total length of 'image registration paths' to be the minimum, and then the original tumor images are warped to the group center image using the resulting deformation fields. We have evaluated our method based on both simulated and real MR brain tumor images. The registration results were evaluated with overlap measures of corresponding brain regions and average entropy of image intensity information, and Wilcoxon signed rank tests were adopted to compare different methods with respect to their regional overlap measures. Compared with a groupwise image registration method that is applied to normal-appearance images estimated using the traditional low-rank plus sparse matrix decomposition based image inpainting, our method achieved higher image registration accuracy with statistical significance (p = 7.02 x 10(-9)).
WOS关键词	COST FUNCTION MASKING ; DEFORMABLE REGISTRATION ; SPATIAL NORMALIZATION ; PROBABILISTIC ATLAS ; CONSTRUCTION ; PATHOLOGIES ; ALGORITHM
WOS研究方向	Engineering ; Radiology, Nuclear Medicine & Medical Imaging
语种	英语
WOS记录号	WOS:000418450600001
资助机构	National High Technology Research and Development Program of China(2015AA020504) ; National Key Basic Research and Development Program(2015CB856404) ; National Natural Science Foundation of China(61502002 ; Natural Science Foundation of Anhui Province Education Department(KJ2015A008) ; NIH(EB022573 ; 81271514 ; CA189523) ; 61473296)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/19766]
专题	自动化研究所_模式识别国家重点实验室_机器人视觉团队
作者单位	1.Anhui Univ, Sch Comp Sci & Technol, Hefei 230601, Anhui, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Univ Penn, Dept Radiol, Perelman Sch Med, Philadelphia, PA 19104 USA
推荐引用方式 GB/T 7714	Tang, Zhenyu,Wu, Yihong,Fan, Yong. Groupwise registration of MR brain images with tumors[J]. PHYSICS IN MEDICINE AND BIOLOGY,2017,62(17):8853-8868.
APA	Tang, Zhenyu,Wu, Yihong,&Fan, Yong.(2017).Groupwise registration of MR brain images with tumors.PHYSICS IN MEDICINE AND BIOLOGY,62(17),8853-8868.
MLA	Tang, Zhenyu,et al."Groupwise registration of MR brain images with tumors".PHYSICS IN MEDICINE AND BIOLOGY 62.17(2017):8853-8868.