Detection and analysis of T2DM biomarkers from brain MR images using BrainLab

Bo Peng, Gang Li, Zhiye Chen, Bin Lv, Dinggang Shen, Lin Ma, Yakang Dai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages174-178
Number of pages5
ISBN (Electronic)9781479958382
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 - Dalian, China
Duration: 2014 Oct 142014 Oct 16

Other

Other2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014
CountryChina
CityDalian
Period14/10/1414/10/16

Fingerprint

Biomarkers
Medical problems
Type 2 Diabetes Mellitus
Brain
Frontal Lobe
Temporal Lobe
Atrophy
Early Diagnosis
Gray Matter

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

Cite this

Peng, B., Li, G., Chen, Z., Lv, B., Shen, D., Ma, L., & Dai, Y. (2014). Detection and analysis of T2DM biomarkers from brain MR images using BrainLab. In Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014 (pp. 174-178). [7002765] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BMEI.2014.7002765

Detection and analysis of T2DM biomarkers from brain MR images using BrainLab. / Peng, Bo; Li, Gang; Chen, Zhiye; Lv, Bin; Shen, Dinggang; Ma, Lin; Dai, Yakang.

Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 174-178 7002765.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Peng, B, Li, G, Chen, Z, Lv, B, Shen, D, Ma, L & Dai, Y 2014, Detection and analysis of T2DM biomarkers from brain MR images using BrainLab. in Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014., 7002765, Institute of Electrical and Electronics Engineers Inc., pp. 174-178, 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014, Dalian, China, 14/10/14. https://doi.org/10.1109/BMEI.2014.7002765
Peng B, Li G, Chen Z, Lv B, Shen D, Ma L et al. Detection and analysis of T2DM biomarkers from brain MR images using BrainLab. In Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 174-178. 7002765 https://doi.org/10.1109/BMEI.2014.7002765
Peng, Bo ; Li, Gang ; Chen, Zhiye ; Lv, Bin ; Shen, Dinggang ; Ma, Lin ; Dai, Yakang. / Detection and analysis of T2DM biomarkers from brain MR images using BrainLab. Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 174-178
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