Metric Learning for Multi-atlas based Segmentation of Hippocampus

doi:10.1007/s12021-016-9312-y

	Metric Learning for Multi-atlas based Segmentation of Hippocampus
	Zhu, Hancan 1; Cheng, Hewei 2; Yang, Xuesong 3; Fan, Yong 4; Alzheimer's Dis Neuroimaging
刊名	NEUROINFORMATICS
	2017
卷号	15 期号:1 页码:41-50
关键词	Multi-atlas Image Segmentation Hippocampus Segmentation Metric Learning Label Fusion
DOI	10.1007/s12021-016-9312-y
文献子类	Article
英文摘要	Automatic and reliable segmentation of hippocampus from MR brain images is of great importance in studies of neurological diseases, such as epilepsy and Alzheimer's disease. In this paper, we proposed a novel metric learning method to fuse segmentation labels in multi-atlas based image segmentation. Different from current label fusion methods that typically adopt a predefined distance metric model to compute a similarity measure between image patches of atlas images and the image to be segmented, we learn a distance metric model from the atlases to keep image patches of the same structure close to each other while those of different structures are separated. The learned distance metric model is then used to compute the similarity measure between image patches in the label fusion. The proposed method has been validated for segmenting hippocampus based on the EADC-ADNI dataset with manually labelled hippocampus of 100 subjects. The experiment results demonstrated that our method achieved statistically significant improvement in segmentation accuracy, compared with state-of-the-art multi-atlas image segmentation methods.
WOS关键词	IMAGE SEGMENTATION ; LABEL FUSION ; ALZHEIMERS-DISEASE ; BRAIN ; SELECTION ; PATCH ; CLASSIFICATION ; REGISTRATION ; PERFORMANCE ; VALIDATION
WOS研究方向	Computer Science ; Neurosciences & Neurology
语种	英语
WOS记录号	WOS:000394260000005
资助机构	National Key Basic Research and Development Program(2015CB856404) ; National Natural Science Foundation of China(81271514 ; NIH(EB022573 ; 61473296 ; CA189523 ; 61602307) ; AG014971)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/14387]
专题	自动化研究所_脑网络组研究中心
作者单位	1.Shaoxing Univ, Sch Math Phys & Informat, Shaoxing 312000, Peoples R China 2.Chongqing Univ Posts & Telecommun, Sch Bioinformat, Dept Biomed Engn, Chongqing 400065, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 4.Univ Penn, Dept Radiol, Perelman Sch Med, Philadelphia, PA 19104 USA
推荐引用方式 GB/T 7714	Zhu, Hancan,Cheng, Hewei,Yang, Xuesong,et al. Metric Learning for Multi-atlas based Segmentation of Hippocampus[J]. NEUROINFORMATICS,2017,15(1):41-50.
APA	Zhu, Hancan,Cheng, Hewei,Yang, Xuesong,Fan, Yong,&Alzheimer's Dis Neuroimaging.(2017).Metric Learning for Multi-atlas based Segmentation of Hippocampus.NEUROINFORMATICS,15(1),41-50.
MLA	Zhu, Hancan,et al."Metric Learning for Multi-atlas based Segmentation of Hippocampus".NEUROINFORMATICS 15.1(2017):41-50.