| Project/Area Number |
20700558
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Applied health science
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| Research Institution | Takasaki University of Health and Welfare |
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Principal Investigator |
KODAMA Naoki Takasaki University of Health and Welfare, 健康福祉学部, 准教授 (50383146)
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| Project Period (FY) |
2008 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2008: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 認知症 / 画像 / アルゴリズム / 医療・福祉 / 脳・神経 / コンピュータ支援診断 / 医用画像処理 / MRI / 軽度認知障害 |
|---|
| Research Abstract |
We studied the possibility of making an objective early detection of dementia. Subjects consisted of 30 patients with Alzheimer-type dementia, and 30 healthy elderly individuals, with no statistically significant difference in age or sex between the two populations. Texture analysis was performed on cerebral parenchyma images extracted from magnetic resonance images of the head for all the subjects. The texture analysis confirmed Alzheimer-type dementia 24 (80.0%) of the 30 patients with the disease, and the normal brain in 22 (73.3%) of the 30 healthy individuals. However, neural network confirmed Alzheimer-type dementia 30 (100%) of the 30 patients with the disease, and the normal brain in 28 (93.3%) of the 30 healthy individuals. These results indicate that this diagnostic technique provides a useful system for early detection of dementia.
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