干旱区生态环境知识资源中心(Arid): An improved algorithm of white matter hyperintensity detection in elderly adults

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DOI	10.1016/j.nicl.2019.102151
	An improved algorithm of white matter hyperintensity detection in elderly adults
	Ding, T.1; Cohen, A. D.1; O'; Connor, E. E.2; Karim, H. T.1; Crainiceanu, A.3; Muschelli, J.4; Lopez, O.1; Klunk, W. E.1; Aizenstein, H. J.1; Krafty, R.1; Crainiceanu, C. M.4; Tudorascu, D. L.1
通讯作者	Ding, T.
来源期刊	NEUROIMAGE-CLINICAL
ISSN	2213-1582
出版年	2020
卷号	25
英文摘要	Automated segmentation of the aging brain raises significant challenges because of the prevalence, extent, and heterogeneity of white matter hyperintensities. White matter hyperintensities can be frequently identified in magnetic resonance imaging (MRI) scans of older individuals and among those who have Alzheimer's disease. We propose OASIS-AD, a method for automatic segmentation of white matter hyperintensities in older adults using structural brain MRIs. OASIS-AD is an approach evolved from OASIS, which was developed for automatic lesion segmentation in multiple sclerosis. OASIS-AD is a major refinement of OASIS that takes into account the specific challenges raised by white matter hyperintensities in Alzheimer's disease. In particular, OASIS-AD combines three processing steps: 1) using an eroding procedure on the skull stripped mask; 2) adding a nearest neighbor feature construction approach; and 3) applying a Gaussian filter to refine segmentation results, creating a novel process for WMH detection in aging population. We show that OASIS-AD performs better than existing automatic white matter hyperintensity segmentation approaches.
英文关键词	Brain WMH segmentation Alzheimer's disease OASIS MRI Statistical methods neuroimaging
类型	Article
语种	英语
国家	USA
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000519535200006
WOS关键词	MR-IMAGES ; AUTOMATIC SEGMENTATION ; MULTIPLE-SCLEROSIS ; LESIONS
WOS类目	Neuroimaging
WOS研究方向	Neurosciences & Neurology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315231
作者单位	1.Univ Pittsburgh, Pittsburgh, PA 15260 USA; 2.Univ Maryland, Baltimore, MD 21201 USA; 3.US Naval Acad, Annapolis, MD 21402 USA; 4.Johns Hopkins Univ, Baltimore, MD 21218 USA
推荐引用方式 GB/T 7714	Ding, T.,Cohen, A. D.,O',et al. An improved algorithm of white matter hyperintensity detection in elderly adults[J],2020,25.
APA	Ding, T..,Cohen, A. D..,O'.,Connor, E. E..,Karim, H. T..,...&Tudorascu, D. L..(2020).An improved algorithm of white matter hyperintensity detection in elderly adults.NEUROIMAGE-CLINICAL,25.
MLA	Ding, T.,et al."An improved algorithm of white matter hyperintensity detection in elderly adults".NEUROIMAGE-CLINICAL 25(2020).