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

研究成果: Contribution to journal › Article › 査読

抄録

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.

本文言語	英語
ページ（範囲）	7116-7119
ページ数	4
ジャーナル	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
巻	2013
DOI	https://doi.org/10.1109/EMBC.2013.6611198
出版ステータス	出版済み - 1 1 2013

All Science Journal Classification (ASJC) codes

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

文献へのアクセス

10.1109/EMBC.2013.6611198

フィンガープリント「Automated measurement of cerebral cortical thickness based on fuzzy membership map derived from MR images for evaluation of Alzheimer's disease」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル

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; Ohara, Tomoyuki; Yamashita, Yasuo; Toyofuku, Fukai.

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.

研究成果: Contribution to journal › Article › 査読

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 1 1;2013:7116-7119. https://doi.org/10.1109/EMBC.2013.6611198

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