Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI.
Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI.
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DOI：
10.1002/hipo.20626
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发表时间：
2009-06
期刊：
影响因子：
3.5
通讯作者：
Colliot, Olivier
中科院分区：
文献类型：
--
作者：
Chupin, Marie;Gerardin, Emilie;Cuingnet, Remi;Boutet, Claire;Lemieux, Louis;Lehericy, Stephane;Benali, Habib;Garnero, Line;Colliot, Olivier
海马体是阿尔茨海默病（AD）中最先受到影响的结构之一。海马MRI容量测定是AD的潜在生物标志物，但受到手动分割的限制。我们提出了一个全自动的方法，使用概率和解剖先验海马分割。概率信息来自16个年轻的控制和解剖知识建模与自动检测的地标。先前通过与来自16名年轻健康对照的数据的手动分割进行比较来评估结果，采用留一策略，以及8名AD患者。两组的准确性都很高（体积误差分别为6%和7%，重叠率分别为87%和86%）。本文应用该方法对ADNI（Alzheimer's Disease Neuroimaging Initiative）数据库中的145例AD患者、294例轻度认知障碍（MCI）患者和166例正常老年人进行了分割。基于定性评级协议，分割证明在94%的情况下是可接受的。我们使用获得的海马体积自动区分AD患者，MCI患者和老年对照。分类被证明是准确的：76%的AD患者和71%的MCI在18个月前转化为AD，仅使用海马体积就能正确分类为老年对照组。
The hippocampus is among the first structures affected in Alzheimer’s disease (AD). Hippocampal MRI volumetry is a potential biomarker for AD but is hindered by the limitations of manual segmentation. We proposed a fully automatic method using probabilistic and anatomical priors for hippocampus segmentation. Probabilistic information is derived from 16 young controls and anatomical knowledge is modelled with automatically detected landmarks. The results were previously evaluated by comparison with manual segmentation on data from the 16 young healthy controls, with a leave-one-out strategy, and 8 patients with AD. High accuracy was found for both groups (volume error 6% and 7%, overlap 87% and 86%, respectively). In this paper, the method was used to segment 145 patients with AD, 294 patients with Mild Cognitive Impairment (MCI) and 166 elderly normal subjects from the ADNI (Alzheimer’s Disease Neuroimaging Initiative) database. Based on a qualitative rating protocol, the segmentation proved acceptable in 94% of the cases. We used the obtained hippocampal volumes to automatically discriminate between AD patients, MCI patients and elderly controls. The classification proved accurate: 76% of the patients with AD, and 71% of the MCI converting to AD before 18 months, were correctly classified with respect to the elderly controls, using only hippocampal volume.
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影响因子：
19.7
作者：
Colliot, Olivier;Chetelat, Gael;Lehericy, Stephane
通讯作者：
Lehericy, Stephane
影响因子：
9.9
作者：
Csernansky, JG;Wang, L;Miller, MI
通讯作者：
Miller, MI
影响因子：
9.9
作者：
Xu, Y;Jack, CR;Petersen, RC
通讯作者：
Petersen, RC
影响因子：
5.7
作者：
Chupin M;Hammers A;Liu RS;Colliot O;Burdett J;Bardinet E;Duncan JS;Garnero L;Lemieux L
通讯作者：
Lemieux L
影响因子：
4.2
作者：
Pennanen, C;Kivipelto, M;Soininen, H
通讯作者：
Soininen, H