北京大学医学部机构知识库
Advanced  
IR@PKUHSC  > 北京大学第一临床医学院  > 放射治疗科  > 期刊论文
学科主题: 临床医学
题名:
Hippocampal shape analysis of Alzheimer disease based on machine learning methods
作者: Li, S.1; Shi, F.1; Pu, F.1; Li, X.1; Jiang, T.1; Xie, S.1; Wang, Y.1
刊名: AMERICAN JOURNAL OF NEURORADIOLOGY
发表日期: 2007-08-01
DOI: 10.3174/ajnr.AO620
卷: 28, 期:7, 页:1339-1345
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Clinical Neurology ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
研究领域[WOS]: Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
关键词[WOS]: VOXEL-BASED MORPHOMETRY ; GRAY-MATTER LOSS ; ENTORHINAL CORTEX ; NEUROFIBRILLARY TANGLES ; MEMORY IMPAIRMENT ; SENILE PLAQUES ; DEMENTIA ; MRI ; CLASSIFICATION ; SEVERITY
英文摘要:

BACKGROUND AND PURPOSE: Alzheimer disease (AD) is a neurodegenerative disease characterized by progressive dementia. The hippocampus is particularly vulnerable to damage at the very earliest stages of AD. This article seeks to evaluate critical AD-associated regional changes in the hippocampus using machine learning methods.

MATERIALS AND METHODS: High-resolution MR images were acquired from 19 patients with AD and 20 age- and sex-matched healthy control subjects. Regional changes of bilateral hippocampi were characterized using computational anatomic mapping methods. A feature selection method for support vector machine and leave-1-out cross-validation was introduced to determine regional shape differences that minimized the error rate in the datasets.

RESULTS: Patients with AD showed significant deformations in the CA1 region of bilateral hippocampi, as well as the subiculum of the left hippocampus. There were also some changes in the CA2-4 subregions of the left hippocampus among patients with AD. Moreover, the left hippocampal surface showed greater variations than the right compared with those in healthy control subjects. The accuracies of leave-1-out cross-validation and 3-fold cross-validation experiments for assessing the reliability of these subregions were more than 80% in bilateral hippocampi.

CONCLUSION: Subtle and spatially complex deformation patterns of hippocampus between patients with AD and healthy control subjects can be detected by machine learning methods.

语种: 英语
WOS记录号: WOS:000249278700026
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/52584
Appears in Collections:北京大学第一临床医学院_放射治疗科_期刊论文

Files in This Item:

There are no files associated with this item.


作者单位: 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Peking Univ, Dept Radiol, Hosp 1, Beijing 100871, Peoples R China
3.Peking Univ, Dept Neuropsychol, Hosp 1, Beijing 100871, Peoples R China
4.Beijing Univ Aeronaut & Astronaut, Dept B oengn, Beijing 100083, Peoples R China

Recommended Citation:
Li, S.,Shi, F.,Pu, F.,et al. Hippocampal shape analysis of Alzheimer disease based on machine learning methods[J]. AMERICAN JOURNAL OF NEURORADIOLOGY,2007,28(7):1339-1345.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Li, S.]'s Articles
[Shi, F.]'s Articles
[Pu, F.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Li, S.]‘s Articles
[Shi, F.]‘s Articles
[Pu, F.]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  北京大学医学部 - Feedback
Powered by CSpace