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Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease | |
Yang, Zhen1![]() ![]() ![]() | |
发表期刊 | NEUROIMAGE
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2016-02-15 | |
卷号 | 127期号:1页码:435-444 |
文章类型 | Article |
摘要 | The cerebellum plays an important role in both motor control and cognitive function. Cerebellar function is topographically organized and diseases that affect specific parts of the cerebellum are associated with specific patterns of symptoms. Accordingly, delineation and quantification of cerebellar sub-regions from magnetic resonance images are important in the study of cerebellar atrophy and associated functional losses. This paper describes an automated cerebellar lobule segmentation method based on a graph cut segmentation framework. Results from multi-atlas labeling and tissue classification contribute to the region terms in the graph cut energy function and boundary classification contributes to the boundary term in the energy function. A cerebellar parcellation is achieved by minimizing the energy function using the a-expansion technique. The proposed method was evaluated using a leave-one-out cross-validation on 15 subjects including both healthy controls and patients with cerebellar diseases. Based on reported Dice coefficients, the proposed method outperforms two state-of-the-art methods. The proposed method was then applied to 77 subjects to study the region-specific cerebellar structural differences in three spinocerebellar ataxia (SCA) genetic subtypes. Quantitative analysis of the lobule volumes shows distinct patterns of volume changes associated with different SCA subtypes consistent with known patterns of atrophy in these genetic subtypes. (C) 2015 Elsevier Inc. All rights reserved. |
关键词 | Cerebellum Cerebellar Lobule Segmentation Graph Cuts Magnetic Resonance Imaging Multi-atlas Labeling Random Forest Classifier Spinocerebellar Ataxia |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
DOI | 10.1016/j.neuroimage.2015.09.032 |
关键词[WOS] | IMAGE SEGMENTATION ; HUNTINGTONS-DISEASE ; STATISTICAL FUSION ; LABEL-FUSION ; GRAPH CUTS ; BRAIN ; ATLAS ; ATROPHY ; PERFORMANCE ; DEGENERATION |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | NIH/NINDS(5R01NS056307-08) |
WOS研究方向 | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000369952900037 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11341 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
通讯作者 | Zhen Yang |
作者单位 | 1.Johns Hopkins Univ, Dept Elect & Comp Engn, 105 Barton Hall,3400 N Charles St, Baltimore, MD 21218 USA 2.Chinese Acad Sci, Brainnetome Ctr, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 4.Howard Hughes Med Inst, Janelia Res Campus, Ashburn, VA 20147 USA 5.Johns Hopkins Univ, Dept Comp Sci, Baltimore, MD 21218 USA 6.Johns Hopkins Univ, Dept Appl Math & Stat, Baltimore, MD 21218 USA 7.Johns Hopkins Sch Med, Dept Radiol, Baltimore, MD 21287 USA |
推荐引用方式 GB/T 7714 | Yang, Zhen,Ye, Chuyang,Bogovic, John A.,et al. Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease[J]. NEUROIMAGE,2016,127(1):435-444. |
APA | Yang, Zhen.,Ye, Chuyang.,Bogovic, John A..,Carass, Aaron.,Jedynak, Bruno M..,...&Zhen Yang.(2016).Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease.NEUROIMAGE,127(1),435-444. |
MLA | Yang, Zhen,et al."Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease".NEUROIMAGE 127.1(2016):435-444. |
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