TY - GEN
T1 - An age estimation method using brain local features for T1-weighted images
AU - Kondo, Chihiro
AU - Ito, Koichi
AU - Wu, Kai
AU - Sato, Kazunori
AU - Taki, Yasuyuki
AU - Fukuda, Hiroshi
AU - Aoki, Takafumi
PY - 2015/11/4
Y1 - 2015/11/4
N2 - Previous statistical analysis studies using large-scale brain magnetic resonance (MR) image databases have examined that brain tissues have age-related morphological changes. This fact indicates that one can estimate the age of a subject from his/her brain MR image by evaluating morphological changes with healthy aging. This paper proposes an age estimation method using local features extracted from T1-weighted MR images. The brain local features are defined by volumes of brain tissues parcellated into local regions defined by the automated anatomical labeling atlas. The proposed method selects optimal local regions to improve the performance of age estimation. We evaluate performance of the proposed method using 1,146 T1-weighted images from a Japanese MR image database. We also discuss the medical implication of selected optimal local regions.
AB - Previous statistical analysis studies using large-scale brain magnetic resonance (MR) image databases have examined that brain tissues have age-related morphological changes. This fact indicates that one can estimate the age of a subject from his/her brain MR image by evaluating morphological changes with healthy aging. This paper proposes an age estimation method using local features extracted from T1-weighted MR images. The brain local features are defined by volumes of brain tissues parcellated into local regions defined by the automated anatomical labeling atlas. The proposed method selects optimal local regions to improve the performance of age estimation. We evaluate performance of the proposed method using 1,146 T1-weighted images from a Japanese MR image database. We also discuss the medical implication of selected optimal local regions.
UR - http://www.scopus.com/inward/record.url?scp=84953235543&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84953235543&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2015.7318450
DO - 10.1109/EMBC.2015.7318450
M3 - Conference contribution
C2 - 26736350
AN - SCOPUS:84953235543
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 666
EP - 669
BT - 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Y2 - 25 August 2015 through 29 August 2015
ER -