Automated evaluation system of white matter hyper intensity and computer aided diagnosis for dementia using MRI
| Project/Area Number |
16K21660
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Radiation science
Medical systems
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| Research Institution | Tohoku University (2017)
National Center of Neurology and Psychiatry (2016) |
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Principal Investigator |
Norihide Maikusa 東北大学, 東北メディカル・メガバンク機構, 助教 (80631069)
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2017: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | Alzheimer's disease / MRI / 脳画像解析 / アルツハイマー病 / a / ＭＲＩ |
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| Outline of Final Research Achievements |
We developed an automatic computer aided diagnostic method of Alzheimer's disease using longitudinal T1-MRI. This method used not only for atrophy of gray matter but also White matter hypo-intensity on T1 images.
To asses proposed method using data of Japanese Alzheimer's Disease Neuroimaging Initiative (J-ADNI).We used Support vector machine for Alzheimer group and healthy group using proposed method.As a result, it showed that it can be identified with a sensitivity of 87.9% and a specificity of 80.0%.
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Report
(3 results)
Research Products
(2 results)
