干旱区生态环境知识资源中心(Arid): Brain Extraction Using Active Contour Neighborhood-Based Graph Cuts Model

Arid

DOI	10.3390/sym12040559
	Brain Extraction Using Active Contour Neighborhood-Based Graph Cuts Model
	Jiang, Shaofeng; Wang, Yu; Zhou, Xuxin; Chen, Zhen; Yang, Suhua
通讯作者	Jiang, Shaofeng
来源期刊	SYMMETRY-BASEL
EISSN	2073-8994
出版年	2020
卷号	12 期号:4
英文摘要	The extraction of brain tissue from brain MRI images is an important pre-procedure for the neuroimaging analyses. The brain is bilaterally symmetric both in coronal plane and transverse plane, but is usually asymmetric in sagittal plane. To address the over-smoothness, boundary leakage, local convergence and asymmetry problems in many popular methods, we developed a brain extraction method using an active contour neighborhood-based graph cuts model. The method defined a new asymmetric assignment of edge weights in graph cuts for brain MRI images. The new graph cuts model was performed iteratively in the neighborhood of brain boundary named the active contour neighborhood (ACN), and was effective to eliminate boundary leakage and avoid local convergence. The method was compared with other popular methods on the Internet Brain Segmentation Repository (IBSR) and OASIS data sets. In testing cross IBSR data set (18 scans with 1.5 mm thickness), IBSR data set (20 scans with 3.1 mm thickness) and OASIS data set (77 scans with 1 mm thickness), the mean Dice similarity coefficients obtained by the proposed method were 0.957 +/- 0.013, 0.960 +/- 0.009 and 0.936 +/- 0.018 respectively. The result obtained by the proposed method is very similar with manual segmentation and achieved the best mean Dice similarity coefficient on IBSR data. Our experiments indicate that the proposed method can provide competitively accurate results and may obtain brain tissues with sharp brain boundary from brain MRI images.
英文关键词	brain extraction graph cuts MRI volume
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000540222200070
WOS关键词	ENERGY MINIMIZATION ; IMAGE REGISTRATION ; SEGMENTATION
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319815
作者单位	Nanchang Hangkong Univ NCHU, Key Lab Nondestruct Testing, Minist Educ, Nanchang 330063, Jiangxi, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Shaofeng,Wang, Yu,Zhou, Xuxin,et al. Brain Extraction Using Active Contour Neighborhood-Based Graph Cuts Model[J],2020,12(4).
APA	Jiang, Shaofeng,Wang, Yu,Zhou, Xuxin,Chen, Zhen,&Yang, Suhua.(2020).Brain Extraction Using Active Contour Neighborhood-Based Graph Cuts Model.SYMMETRY-BASEL,12(4).
MLA	Jiang, Shaofeng,et al."Brain Extraction Using Active Contour Neighborhood-Based Graph Cuts Model".SYMMETRY-BASEL 12.4(2020).