Knowledge Commons of Institute of Automation,CAS
Groupwise registration of MR brain images with tumors | |
Tang, Zhenyu1; Wu, Yihong2![]() | |
发表期刊 | PHYSICS IN MEDICINE AND BIOLOGY
![]() |
2017-09-07 | |
卷号 | 62期号:17页码:8853-8868 |
文章类型 | Article |
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)). |
关键词 | Groupwise Image Registration Image Inpainting Brain Tumor Images |
WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
DOI | 10.1088/1361-6560/aa7c41 |
关键词[WOS] | COST FUNCTION MASKING ; DEFORMABLE REGISTRATION ; SPATIAL NORMALIZATION ; PROBABILISTIC ATLAS ; CONSTRUCTION ; PATHOLOGIES ; ALGORITHM |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | 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) |
WOS研究方向 | Engineering ; Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Engineering, Biomedical ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000418450600001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/19766 |
专题 | 多模态人工智能系统全国重点实验室_机器人视觉 |
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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
5. Physics in Medici(3577KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论