Evaluation of the Alzheimer-type dementia by magnetic resonance imaging using fuzzy neural networks

Xicheng Liu, Shin Hibino, Yoshihiro Hasegawa, Taizo Hanai, Takeju Mitsushima, Akihiko Iida, Michitaka Matsubara, Hiroyuki Honda, Takeshi Kobayashi

研究成果: ジャーナルへの寄稿記事

抄録

A system for evaluating dementia of the Alzheimer type (DAT) based on magnetic resonance (MR) imaging by means of fuzzy neural networks (FNNs) was investigated. The TI-weighted head MR transverse section images were obtained by a routinely performed examination. Nine slices including the thalamus were analyzed for each subject. Each MR image (MRI) was divided into four parts. The ratio of the brain area to the intracranial area was defined as the atrophy ratio. DAT severity was assessed by the Mini-Mental State (MMS) examination administered to each patient, and the results were used as teaching values for the FNN models. To construct the FNN model with high accuracy, MRI-based input variables were examined. Using atrophy ratios of 9 MRIs based on thalamically fiducial images and the corresponding areal or volumetric data as input variables, highly accurate FNN models were constructed that gave an average error of 1.29 points out of 30 in the MMS scores.

元の言語英語
ページ(範囲)429-435
ページ数7
ジャーナルJOURNAL OF CHEMICAL ENGINEERING OF JAPAN
37
発行部数3
DOI
出版物ステータス出版済み - 3 1 2004
外部発表Yes

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Fuzzy neural networks
Magnetic resonance
Imaging techniques
Magnetic resonance imaging
Brain
Teaching

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)

これを引用

Evaluation of the Alzheimer-type dementia by magnetic resonance imaging using fuzzy neural networks. / Liu, Xicheng; Hibino, Shin; Hasegawa, Yoshihiro; Hanai, Taizo; Mitsushima, Takeju; Iida, Akihiko; Matsubara, Michitaka; Honda, Hiroyuki; Kobayashi, Takeshi.

:: JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 巻 37, 番号 3, 01.03.2004, p. 429-435.

研究成果: ジャーナルへの寄稿記事

Liu, X, Hibino, S, Hasegawa, Y, Hanai, T, Mitsushima, T, Iida, A, Matsubara, M, Honda, H & Kobayashi, T 2004, 'Evaluation of the Alzheimer-type dementia by magnetic resonance imaging using fuzzy neural networks', JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 巻. 37, 番号 3, pp. 429-435. https://doi.org/10.1252/jcej.37.429
Liu, Xicheng ; Hibino, Shin ; Hasegawa, Yoshihiro ; Hanai, Taizo ; Mitsushima, Takeju ; Iida, Akihiko ; Matsubara, Michitaka ; Honda, Hiroyuki ; Kobayashi, Takeshi. / Evaluation of the Alzheimer-type dementia by magnetic resonance imaging using fuzzy neural networks. :: JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 2004 ; 巻 37, 番号 3. pp. 429-435.
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abstract = "A system for evaluating dementia of the Alzheimer type (DAT) based on magnetic resonance (MR) imaging by means of fuzzy neural networks (FNNs) was investigated. The TI-weighted head MR transverse section images were obtained by a routinely performed examination. Nine slices including the thalamus were analyzed for each subject. Each MR image (MRI) was divided into four parts. The ratio of the brain area to the intracranial area was defined as the atrophy ratio. DAT severity was assessed by the Mini-Mental State (MMS) examination administered to each patient, and the results were used as teaching values for the FNN models. To construct the FNN model with high accuracy, MRI-based input variables were examined. Using atrophy ratios of 9 MRIs based on thalamically fiducial images and the corresponding areal or volumetric data as input variables, highly accurate FNN models were constructed that gave an average error of 1.29 points out of 30 in the MMS scores.",
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