TY - GEN
T1 - Detection and analysis of T2DM biomarkers from brain MR images using BrainLab
AU - Peng, Bo
AU - Li, Gang
AU - Chen, Zhiye
AU - Lv, Bin
AU - Shen, Dinggang
AU - Ma, Lin
AU - Dai, Yakang
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Brain labeling
KW - Brain segmentation
KW - Cortical surface reconstruction
KW - Cortical thickness
KW - Magnetic resonance image
KW - Type 2 diabetes
UR - http://www.scopus.com/inward/record.url?scp=84988267120&partnerID=8YFLogxK
U2 - 10.1109/BMEI.2014.7002765
DO - 10.1109/BMEI.2014.7002765
M3 - Conference contribution
AN - SCOPUS:84988267120
T3 - Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
SP - 174
EP - 178
BT - Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
Y2 - 14 October 2014 through 16 October 2014
ER -