Knowledge Commons of Institute of Automation,CAS
Characterizing White Matter Connectivity in Alzheimer's Disease and Mild Cognitive Impairment: Automated Fiber Quantification | |
Dou, Xuejiao1,2![]() ![]() ![]() ![]() ![]() ![]() | |
2019-04 | |
会议名称 | IEEE International Symposium on Biomedical Imaging |
会议日期 | April 8 - 11, 2019 |
会议地点 | The Hilton Molino Stucky in Venice |
摘要 | Alzheimer's disease (AD) is a neurodegenerative disease characterized by progressive dementia. Diffusion tensor imaging (DTI) has been used widely to delineate the white matter integrity/degeneration in AD. Automated fiber quantification (AFQ) method is a fully automated method, which can identify the major white matter fiber tracts and then evaluate the white matter properties. The main purpose of this study is to assess the white matter integrity and abnormities in a cohort of amnestic Mild Cognitive Impairment (aMCI) and AD patients as well as normal controls (NCs). We tested the utility of diffusion tensor imaging measures along white matter tracts as features to classify the AD from NCs using support vector machine. The results showed that we have detected credible and robust potential early biomarker that may be useful for clinical application in AD. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23370 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
通讯作者 | Liu, Yong |
作者单位 | 1.Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, China 3.Department of Radiology, Chinese PLA General Hospital, Beijing, China 4.Department of Neurology, Nanlou Division, Chinese PLA General Hospital; National Clinical Research Center for Geriatric Diseases, Beijing, China 5.Department of Neurology, The General Hospital of the PLA Rocket Force, Beijing, China 6.Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China 7.CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室; 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Dou, Xuejiao,Yao, Hongxiang,Jin, Dan,et al. Characterizing White Matter Connectivity in Alzheimer's Disease and Mild Cognitive Impairment: Automated Fiber Quantification[C],2019. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
ISBI19_0170.pdf(409KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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