CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Groupwise registration of MR brain images with tumors
Tang, Zhenyu1; Wu, Yihong2; Fan, Yong3
Source PublicationPHYSICS IN MEDICINE AND BIOLOGY
2017-09-07
Volume62Issue:17Pages:8853-8868
SubtypeArticle
AbstractA 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)).
KeywordGroupwise Image Registration Image Inpainting Brain Tumor Images
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1088/1361-6560/aa7c41
WOS KeywordCOST FUNCTION MASKING ; DEFORMABLE REGISTRATION ; SPATIAL NORMALIZATION ; PROBABILISTIC ATLAS ; CONSTRUCTION ; PATHOLOGIES ; ALGORITHM
Indexed BySCI
Language英语
Funding OrganizationNational 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)
WOS Research AreaEngineering ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectEngineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000418450600001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19766
Collection模式识别国家重点实验室_机器人视觉
Affiliation1.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
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
5. Physics in Medici(3577KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Tang, Zhenyu]'s Articles
[Wu, Yihong]'s Articles
[Fan, Yong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Tang, Zhenyu]'s Articles
[Wu, Yihong]'s Articles
[Fan, Yong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Tang, Zhenyu]'s Articles
[Wu, Yihong]'s Articles
[Fan, Yong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 5. Physics in Medicine Biology 2017.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.