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

doi:10.1109/BMEI.2014.7002765

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

Department of Brain and Cognitive Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 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	https://doi.org/10.1109/BMEI.2014.7002765
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

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/BMEI.2014.7002765

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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, Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014, 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. (Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014). doi: 10.1109/BMEI.2014.7002765

Peng, Bo ; Li, Gang ; Chen, Zhiye et al. / 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 (Proceedings - 2014 7th International Conference on BioMedical Engineering and Informatics, BMEI 2014).

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title = "Detection and analysis of T2DM biomarkers from brain MR images using BrainLab",

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.",

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author = "Bo Peng and Gang Li and Zhiye Chen and Bin Lv and Dinggang Shen and Lin Ma and Yakang Dai",

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AU - Dai, Yakang

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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.

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

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Keywords

ASJC Scopus subject areas

UN SDGs

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