Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 174-178 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479958382 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 - Dalian, China Duration: 2014 Oct 14 → 2014 Oct 16 |
Publication series
| Name | Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 |
|---|
Other
| Other | 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 |
|---|---|
| Country/Territory | China |
| City | Dalian |
| Period | 14/10/14 → 14/10/16 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- Brain labeling
- Brain segmentation
- Cortical surface reconstruction
- Cortical thickness
- Magnetic resonance image
- Type 2 diabetes
ASJC Scopus subject areas
- Signal Processing
- Health Information Management
- Information Systems
- Biomedical Engineering
- Health Informatics
