CASIA OpenIR  > 脑网络组研究中心
Metric Learning for Multi-atlas based Segmentation of Hippocampus
Zhu, Hancan1; Cheng, Hewei2; Yang, Xuesong3; Fan, Yong4; Alzheimer's Dis Neuroimaging
2017
发表期刊NEUROINFORMATICS
卷号15期号:1页码:41-50
文章类型Article
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.
关键词Multi-atlas Image Segmentation Hippocampus Segmentation Metric Learning Label Fusion
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1007/s12021-016-9312-y
关键词[WOS]IMAGE SEGMENTATION ; LABEL FUSION ; ALZHEIMERS-DISEASE ; BRAIN ; SELECTION ; PATCH ; CLASSIFICATION ; REGISTRATION ; PERFORMANCE ; VALIDATION
收录类别SCI
语种英语
项目资助者National Key Basic Research and Development Program(2015CB856404) ; National Natural Science Foundation of China(81271514 ; NIH(EB022573 ; 61473296 ; CA189523 ; 61602307) ; AG014971)
WOS研究方向Computer Science ; Neurosciences & Neurology
WOS类目Computer Science, Interdisciplinary Applications ; Neurosciences
WOS记录号WOS:000394260000005
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/14387
专题脑网络组研究中心
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhu, Hancan]的文章
[Cheng, Hewei]的文章
[Yang, Xuesong]的文章
百度学术
百度学术中相似的文章
[Zhu, Hancan]的文章
[Cheng, Hewei]的文章
[Yang, Xuesong]的文章
必应学术
必应学术中相似的文章
[Zhu, Hancan]的文章
[Cheng, Hewei]的文章
[Yang, Xuesong]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。