NDLI: Study on texture characteristics of hippocampus in MR images of patients with Alzheimer's Disease

Content Provider	IEEE Xplore Digital Library
Author	Xiaoxia Zhou Zhuo Liu Zhen Zhou Hong Xia
Copyright Year	2010
Description	Author affiliation: School of Biomedical Engineering, Capital Medical University, China (Hong Xia) \|\| School of Biomedical Engineering, Capital Medical University, Beijing, China (Xiaoxia Zhou; Zhen Zhou) \|\| Radiology Department, People's Hospital, Peking University, Beijing, China (Zhuo Liu)
Abstract	Alzheimer's disease (AD) is the most common neurodegenerative disease in individuals older than 65 years of age. Nowadays, the imaging study of AD mostly focuses on morphologic measurement of the early predilection sites such as hippocampus. However, there is still lack of a specific parameter for early diagnosis. In this study, texture analysis was performed on MR images of three groups including 18 AD patients, 18 elderly controls (EC) and 18 young controls (YC) to extract texture characteristics from gray level co-occurrence matrix (GLCM) and run-length matrix (RLM). Then the correlation between texture features and hippocampal volumes was tested. The results showed that there were significant differences on three texture parameters of hippocampus between AD and EC group (p<0.05), namely 1) sum average (SA); 2) difference variance (DV); 3)grey level nonuniformity (GLN), as well as the volumes of each lateral hippocampus between AD and EC group (p<0.05). Our research also demonstrated that there were significant correlations between the texture features of one sided hippocampus and the corresponding hippocampal volumes respectively (p<0.05), but some texture parameters between EC and YC group had no significant differences. These results indicated that the hippocampal changes with increasing age were essentially different from the pathological changes with AD. This study suggested that the texture characteristics may reflect the hippocampal underlying pathological changes in the early stage of AD, which could be used as an auxiliary means for early diagnosis of AD.
Starting Page	593
Ending Page	596
File Size	310375
Page Count	4
File Format	PDF
ISBN	9781424464951
e-ISBN	9781424464982
DOI	10.1109/BMEI.2010.5640016
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pathology Correlation Texture analysis Magnetic resonance imaging Volume measurement MRI Aging Alzheimer's disease Hippocampus
Content Type	Text
Resource Type	Article

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