Detection and Analysis of T2DM Biomarkers from Brain MR Images Using BrainLab

被引：0

作者：

Peng, Bo ^{[1
]}

Li, Gang ^{[2
,3
]}

Chen, Zhiye ^{[4
]}

Lv, Bin ^{[5
]}

Shen, Dinggang ^{[2
,3
]}

Ma, Lin ^{[4
]}

Dai, Yakang ^{[1
]}

机构：

[1] Chinese Acad Sci, Suzhou Inst Biomed Engn & Technol, Suzhou 215163, Peoples R China

[2] Univ N Carolina, Dept Radiol, Chapel Hill, NC 27599 USA

[3] Univ N Carolina, Biomed Res Imaging Ctr, Chapel Hill, NC 27599 USA

[4] Peoples Liberat Army Gen Hosp, Dept Radiol, Beijing 100853, Peoples R China

[5] China Acad Telecommun Res, MIIT, Beijing 100191, Peoples R China

来源：

2014 7TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2014) | 2014年

关键词：

brain segmentation; brain labeling; cortical thickness; cortical surface reconstruction; type; 2; diabetes; magnetic resonance image;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Detection and analysis of the brain structural abnormalities from MR images are critical for early diagnosis of type 2 diabetes mellitus (T2DM). However, to date, T2DM biomarkers from brain MR images are still not completely clear. In this study, we investigated T2DM biomarkers using BrainLab, which is our recently developed toolbox for automated analysis of brain MR images. Specifically, our subjects included 10 patients with T2DM and 10 normal controls (NC). All subjects were processed using BrainLab toolbox automatically. Changes of gray matter volumes and cortical thickness were detected and analyzed. Atrophy of gray matter and cortical thickness in brain regions, such as temporal lobe, frontal lobe, and limbic lobe, revealed the potential T2DM biomarkers.

引用

页码：174 / 178

页数：5

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