| Presentation | 2014-11-18 An Age Estimation Method Using Local Features of Brain MRI Images and Its Evaluation Chihiro KONDO, Koichi ITO, Kai WU, Kazunori SATO, Yasuyuki TAKI, Hiroshi FUKUDA, Takafumi AOKl, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is well known that brain tissues have age-related morphological changes through a set of statistical analysis using large-scale brain MRI image databases. This fact allows us to estimate the age of a subject from brain MRI images by evaluating brain morphological changes with healthy aging. This paper proposes an age estimation method using local features extracted from T1-weighted MRI images. The brain local features are defined by volumes of brain tissues separated into 90 local regions denned by the Automated Anatomical Labeling atlas. We evaluate performance of the proposed method using 1,146 T1-weighted MRI images from the Aoba Brain Imaging Project and the Tsurugaya Project. We also analyze effectiveness of each local region for age estimation and discuss its medical implication. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | MRI / T1-weighted image / age estimation / brain aging / local features |
| Paper # | MI2014-45 |
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| Conference Information | |
| Committee | MI |
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| Conference Date | 2014/11/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Medical Imaging (MI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Age Estimation Method Using Local Features of Brain MRI Images and Its Evaluation |
| Sub Title (in English) | |
| Keyword(1) | MRI |
| Keyword(2) | T1-weighted image |
| Keyword(3) | age estimation |
| Keyword(4) | brain aging |
| Keyword(5) | local features |
| 1st Author's Name | Chihiro KONDO |
| 1st Author's Affiliation | Graduate School of Information Sciences, Tohoku University() |
| 2nd Author's Name | Koichi ITO |
| 2nd Author's Affiliation | Graduate School of Information Sciences, Tohoku University |
| 3rd Author's Name | Kai WU |
| 3rd Author's Affiliation | South China University of Technology |
| 4th Author's Name | Kazunori SATO |
| 4th Author's Affiliation | Institute of Development, Aging and Cancer, Tohoku University |
| 5th Author's Name | Yasuyuki TAKI |
| 5th Author's Affiliation | Institute of Development, Aging and Cancer, Tohoku University |
| 6th Author's Name | Hiroshi FUKUDA |
| 6th Author's Affiliation | Tohoku Pharmaceutical University |
| 7th Author's Name | Takafumi AOKl |
| 7th Author's Affiliation | Graduate School of Information Sciences, Tohoku University |
| Date | 2014-11-18 |
| Paper # | MI2014-45 |
| Volume (vol) | vol.114 |
| Number (no) | 311 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |