| Presentation | 2016-03-07 Classification of MRI Images of Alzheimer's Disease without Extraction of Anatomical Region of Interest. Yurino Oda, Daisuke Sugimura, Takayuki Hamamoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a method to classify Alzheimer's disease and mild cognitive impairment in MRI images. Previous methods used image features that are extracted from anatomical region of interest (anatomical ROI) to train a classifier. In the Alzheimer's disease, however, the accuracy in extracting anatomical ROIs decreases because it atrophies patients' brain. To address this problem, we extract image features from the concentric-spherical blocks obtained by dividing a MRI image at a regular interval. Using the extracted features, we train a classifier with an AdaBoost method. The use of the AdaBoost method allows us to automatically select image features that are discriminative in classifying Alzheimer's disease. Using the ADNI dataset, we demonstrate the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image Diagnosis / Alzheimer’s Disease / AdaBoost |
| Paper # | IMQ2015-48,IE2015-147,MVE2015-75 |
| Date of Issue | 2016-02-29 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | IE / IMQ / MVE / CQ |
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| Conference Date | 2016/3/7(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Seishi Takamura(NTT) / Yuukou Horita(Univ. of Toyama) / Minoru Kobayashi(Meiji Univ.) / Kyoko Yamori(Asahi Univ.) |
| Vice Chair | Takayuki Hamamoto(Tokyo Univ. of Science) / Atsuro Ichigaya(NHK) / Kenji Sugiyama(Seikei Univ.) / Toshiya Nakaguchi(Chiba Univ.) / Yoshinari Kameda(Univ. of Tsukuba) / Takanori Hayashi(NTT) / Hideyuki Shimonishi(NEC) |
| Secretary | Takayuki Hamamoto(NTT) / Atsuro Ichigaya(Chiba Inst. of Tech.) / Kenji Sugiyama(Canon) / Toshiya Nakaguchi(Nagoya Univ.) / Yoshinari Kameda(Keio Univ.) / Takanori Hayashi(Osaka Univ.) / Hideyuki Shimonishi(NTT) |
| Assistant | Keita Takahashi(Nagoya Univ.) / Kei Kawamura(KDDI R&D Labs.) / Shinichiro Saito(Sony) / Masaru Tsuchida(NTT) / Reiko Ueoka(Kyushu Univ.) / Masaaki Iiyama(Kyoto Univ.) / Atsunobu Kimura(NTT) / Masahiro Yamamoto(OKI) / Bo GU(Waseda Univ.) / Hirantha Abeysekera(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Image Media Quality / Technical Committee on Multimedia and Virtual Environment / Technical Committee on Communication Quality |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Classification of MRI Images of Alzheimer's Disease without Extraction of Anatomical Region of Interest. |
| Sub Title (in English) | |
| Keyword(1) | Image Diagnosis |
| Keyword(2) | Alzheimer’s Disease |
| Keyword(3) | AdaBoost |
| 1st Author's Name | Yurino Oda |
| 1st Author's Affiliation | Tokyo University of Science(TUS) |
| 2nd Author's Name | Daisuke Sugimura |
| 2nd Author's Affiliation | Tokyo University of Science(TUS) |
| 3rd Author's Name | Takayuki Hamamoto |
| 3rd Author's Affiliation | Tokyo University of Science(TUS) |
| Date | 2016-03-07 |
| Paper # | IMQ2015-48,IE2015-147,MVE2015-75 |
| Volume (vol) | vol.115 |
| Number (no) | IMQ-493,IE-494,MVE-495 |
| Page | pp.pp.113-116(IMQ), pp.113-116(IE), pp.113-116(MVE), |
| #Pages | 4 |
| Date of Issue | 2016-02-29 (IMQ, IE, MVE) |