Age estimation using cortical surface pattern combining thickness with curvatures

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 影像分析与机器视觉团队

	Age estimation using cortical surface pattern combining thickness with curvatures
	Wang, Jieqiong1 ; Li, Wenjing 1; Miao, Wen 1; Dai, Dai 1; Hua, Jing 2; He, Huiguang1
刊名	MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
	2014-04-01
卷号	52 期号:4 页码:331-341
关键词	Age estimation Cortical surface pattern Thickness Curvatures
英文摘要	Brain development and healthy aging have been proved to follow a specific pattern, which, in turn, can be applied to help doctors diagnose mental diseases. In this paper, we design a cortical surface pattern (CSP) combining the cortical thickness with curvatures, which constructs an accurate human age estimation model with relevance vector regression. We test our model with two public databases. One is the IXI database (360 healthy subjects aging from 20 to 82 years old were selected), and the other is the INDI database (303 subjects aging from 7 to 22 years old were selected). The results show that our model can achieve as small as 4.57 years deviation in the IXI database and 1.38 years deviation in the INDI database. Furthermore, we employ this surface pattern to age groups classification and get a remarkably high accuracy (97.77 %) and a significantly high sensitivity/specificity (97.30/98.10 %). These results suggest that our designed CSP combining thickness with curvatures is stable and sensitive to brain development, and it is much more powerful than voxel-based morphometry used in previous methods for age estimation.
WOS标题词	Science & Technology ; Technology ; Life Sciences & Biomedicine
类目[WOS]	Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology ; Medical Informatics
研究领域[WOS]	Computer Science ; Engineering ; Mathematical & Computational Biology ; Medical Informatics
关键词[WOS]	HUMAN CEREBRAL-CORTEX ; GEOMETRICALLY ACCURATE ; OLDER-ADULTS ; BRAIN ; MACHINE ; CLASSIFICATION ; SCHIZOPHRENIA ; MATURITY ; IMAGES ; FMRI
收录类别	SCI
语种	英语
WOS记录号	WOS:000333184200004
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3758]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队
作者单位	1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China 2.Wayne State Univ, Dept Comp Sci, Detroit, MI 48202 USA
推荐引用方式 GB/T 7714	Wang, Jieqiong,Li, Wenjing,Miao, Wen,et al. Age estimation using cortical surface pattern combining thickness with curvatures[J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING,2014,52(4):331-341.
APA	Wang, Jieqiong,Li, Wenjing,Miao, Wen,Dai, Dai,Hua, Jing,&He, Huiguang.(2014).Age estimation using cortical surface pattern combining thickness with curvatures.MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING,52(4),331-341.
MLA	Wang, Jieqiong,et al."Age estimation using cortical surface pattern combining thickness with curvatures".MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 52.4(2014):331-341.