Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease

Hidetaka Arimura; Chiaki Tokunaga; Takashi Yoshiura; Tomoyuki Ohara; Yasuo Yamashita; Fukai Toyofuku

doi:10.1109/EMBC.2013.6611198

Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease

Hidetaka Arimura, Chiaki Tokunaga, Takashi Yoshiura, Tomoyuki Ohara, Yasuo Yamashita, Fukai Toyofuku

Research output: Contribution to journal › Article › peer-review

Abstract

We have proposed an automated method for three-dimensional (3D) measurement of cerebral cortical thicknesses based on fuzzy membership maps derived from magnetic resonance (MR) images for evaluation of Alzheimer's disease (AD). The cerebral cortical thickness was three-dimensionally measured on each cortical surface voxel by using a localized gradient vector trajectory in a fuzzy membership map. The proposed method could be useful for the 3D measurement of the cerebral cortical thickness on individual cortical surface voxels as an atrophy feature in AD.

Original language	English
Pages (from-to)	7116-7119
Number of pages	4
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Volume	2013
DOIs	https://doi.org/10.1109/EMBC.2013.6611198
Publication status	Published - Jan 1 2013

All Science Journal Classification (ASJC) codes

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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10.1109/EMBC.2013.6611198

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Arimura, H., Tokunaga, C., Yoshiura, T., Ohara, T., Yamashita, Y., & Toyofuku, F. (2013). Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2013, 7116-7119. https://doi.org/10.1109/EMBC.2013.6611198

Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease. / Arimura, Hidetaka; Tokunaga, Chiaki; Yoshiura, Takashi et al.

In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Vol. 2013, 01.01.2013, p. 7116-7119.

Research output: Contribution to journal › Article › peer-review

Arimura, H, Tokunaga, C, Yoshiura, T, Ohara, T, Yamashita, Y & Toyofuku, F 2013, 'Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, vol. 2013, pp. 7116-7119. https://doi.org/10.1109/EMBC.2013.6611198

Arimura H, Tokunaga C, Yoshiura T, Ohara T, Yamashita Y, Toyofuku F. Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2013 Jan 1;2013:7116-7119. doi: 10.1109/EMBC.2013.6611198

Arimura, Hidetaka ; Tokunaga, Chiaki ; Yoshiura, Takashi et al. / Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease. In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2013 ; Vol. 2013. pp. 7116-7119.

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Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease

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