Age estimation using effective brain local features from T1-weighted images

Ryuichi Fujimoto, Chihiro Kondo, Koichi Ito, Kai Wu, Kazunori Sato, Yasuyuki Taki, Hiroshi Fukuda, Takafumi Aoki

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

This paper proposes a simple method of selecting effective brain local features for age estimation from T1-weighted MR images. We also employ the high-resolution AAL atlas, which is defined by 1,024 local regions, to improve the accuracy of age estimation. We evaluate performance of the proposed method using 1,099 T1-weighted images from a large-scale brain MR image database of healthy Japanese, and demonstrate that the proposed method exhibits efficient performance of age estimation compared with conventional methods.

本文言語English
ホスト出版物のタイトル2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ5941-5944
ページ数4
ISBN(電子版)9781457702204
DOI
出版ステータスPublished - 2016 10 13
イベント38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
継続期間: 2016 8 162016 8 20

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2016-October
ISSN(印刷版)1557-170X

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
国/地域United States
CityOrlando
Period16/8/1616/8/20

ASJC Scopus subject areas

  • 信号処理
  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学

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