An age estimation method using 3d-cnn from brain MRI images

Masaru Ueda; Koichi Ito; Kai Wu; Kazunori Sato; Yasuyuki Taki; Hiroshi Fukuda; Takafumi Aoki

doi:10.1109/ISBI.2019.8759392

An age estimation method using 3d-cnn from brain MRI images

Masaru Ueda, Koichi Ito, Kai Wu, Kazunori Sato, Yasuyuki Taki, Hiroshi Fukuda, Takafumi Aoki

研究成果: 書籍の章/レポート/Proceedings › 会議への寄与 › 査読

41 被引用数 (Scopus)

抄録

A specific pattern of morphological changes in the human brain is observed during the process of brain development and healthy aging. The age of subjects can be estimated from brain images by evaluating such patterns. This paper proposes an age estimation method using 3-Dimensional Convolutional Neural Network (3D-CNN) from brain T1-weighted images so as to fully utilize the potential of volume data. Through a set of experiments using over 1,000 T1-weighted images of healthy Japanese, we demonstrate that the proposed method exhibits better performance on age estimation than the conventional methods using handcrafted local features and 2D-CNN.

本文言語	英語
ホスト出版物のタイトル	ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
出版社	IEEE Computer Society
ページ	380-383
ページ数	4
ISBN（電子版）	9781538636411
DOI	https://doi.org/10.1109/ISBI.2019.8759392
出版ステータス	出版済み - 2019 4月
イベント	16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, イタリア継続期間: 2019 4月 8 → 2019 4月 11

出版物シリーズ

名前	Proceedings - International Symposium on Biomedical Imaging
巻	2019-April
ISSN（印刷版）	1945-7928
ISSN（電子版）	1945-8452

会議

会議	16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
国/地域	イタリア
City	Venice
Period	19/4/8 → 19/4/11

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

文献へのアクセス

10.1109/ISBI.2019.8759392

他のファイルとリンク

引用スタイル

Ueda, M., Ito, K., Wu, K., Sato, K., Taki, Y., Fukuda, H., & Aoki, T. (2019). An age estimation method using 3d-cnn from brain MRI images. In ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging (pp. 380-383). 記事 8759392 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/ISBI.2019.8759392

@inproceedings{974edc9c1d634e24a6613c7f63d6b398,

title = "An age estimation method using 3d-cnn from brain MRI images",

abstract = "A specific pattern of morphological changes in the human brain is observed during the process of brain development and healthy aging. The age of subjects can be estimated from brain images by evaluating such patterns. This paper proposes an age estimation method using 3-Dimensional Convolutional Neural Network (3D-CNN) from brain T1-weighted images so as to fully utilize the potential of volume data. Through a set of experiments using over 1,000 T1-weighted images of healthy Japanese, we demonstrate that the proposed method exhibits better performance on age estimation than the conventional methods using handcrafted local features and 2D-CNN.",

keywords = "Age estimation, Brain aging, CNN, Deep learning, MRI, T1-weighted image",

author = "Masaru Ueda and Koichi Ito and Kai Wu and Kazunori Sato and Yasuyuki Taki and Hiroshi Fukuda and Takafumi Aoki",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 ; Conference date: 08-04-2019 Through 11-04-2019",

year = "2019",

month = apr,

doi = "10.1109/ISBI.2019.8759392",

language = "English",

series = "Proceedings - International Symposium on Biomedical Imaging",

publisher = "IEEE Computer Society",

pages = "380--383",

booktitle = "ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging",

address = "United States",

}

Ueda, M, Ito, K, Wu, K, Sato, K, Taki, Y, Fukuda, H & Aoki, T 2019, An age estimation method using 3d-cnn from brain MRI images. in ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging., 8759392, Proceedings - International Symposium on Biomedical Imaging, vol. 2019-April, IEEE Computer Society, pp. 380-383, 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, イタリア, 19/4/8. https://doi.org/10.1109/ISBI.2019.8759392

An age estimation method using 3d-cnn from brain MRI images. / Ueda, Masaru; Ito, Koichi; Wu, Kai その他.
ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 2019. p. 380-383 8759392 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2019-April).

研究成果: 書籍の章/レポート/Proceedings › 会議への寄与 › 査読

TY - GEN

T1 - An age estimation method using 3d-cnn from brain MRI images

AU - Ueda, Masaru

AU - Ito, Koichi

AU - Wu, Kai

AU - Sato, Kazunori

AU - Taki, Yasuyuki

AU - Fukuda, Hiroshi

AU - Aoki, Takafumi

PY - 2019/4

Y1 - 2019/4

N2 - A specific pattern of morphological changes in the human brain is observed during the process of brain development and healthy aging. The age of subjects can be estimated from brain images by evaluating such patterns. This paper proposes an age estimation method using 3-Dimensional Convolutional Neural Network (3D-CNN) from brain T1-weighted images so as to fully utilize the potential of volume data. Through a set of experiments using over 1,000 T1-weighted images of healthy Japanese, we demonstrate that the proposed method exhibits better performance on age estimation than the conventional methods using handcrafted local features and 2D-CNN.

AB - A specific pattern of morphological changes in the human brain is observed during the process of brain development and healthy aging. The age of subjects can be estimated from brain images by evaluating such patterns. This paper proposes an age estimation method using 3-Dimensional Convolutional Neural Network (3D-CNN) from brain T1-weighted images so as to fully utilize the potential of volume data. Through a set of experiments using over 1,000 T1-weighted images of healthy Japanese, we demonstrate that the proposed method exhibits better performance on age estimation than the conventional methods using handcrafted local features and 2D-CNN.

KW - Age estimation

KW - Brain aging

KW - CNN

KW - Deep learning

KW - MRI

KW - T1-weighted image

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M3 - Conference contribution

AN - SCOPUS:85073893928

T3 - Proceedings - International Symposium on Biomedical Imaging

SP - 380

EP - 383

BT - ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging

PB - IEEE Computer Society

T2 - 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019

Y2 - 8 April 2019 through 11 April 2019

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An age estimation method using 3d-cnn from brain MRI images

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出版物シリーズ

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