title: Age estimation using effective brain local features from T1-weighted images.
abstract: 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.
authors.forename: Ryuichi
authors.initials: R
authors.lastname: Fujimoto
authors.forename: Chihiro
authors.initials: C
authors.lastname: Kondo
authors.forename: Koichi
authors.initials: K
authors.lastname: Ito
authors.lastname: Kai Wu
authors.forename: Kazunori
authors.initials: K
authors.lastname: Sato
authors.forename: Yasuyuki
authors.initials: Y
authors.lastname: Taki
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Fukuda
authors.forename: Takafumi
authors.initials: T
authors.lastname: Aoki
mesh_terms: D000367:Age Factors; D001921:Brain; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*