Development of computer-aided detection system for early Alzheimer's disease on CT iamges
Project/Area Number |
15K08706
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Medical Physics and Radiological Technology
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Research Institution | 秋田県立脳血管研究センター(研究部門) |
Principal Investigator |
Takahashi Noriyuki 秋田県立脳血管研究センター(研究部門), 放射線医学研究部, 特任研究員 (90595076)
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Co-Investigator(Kenkyū-buntansha) |
木下 俊文 秋田県立脳血管研究センター(研究部門), その他部局等, 研究員 (70314599)
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Project Period (FY) |
2015-04-01 – 2018-03-31
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Project Status |
Completed (Fiscal Year 2017)
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Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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Keywords | 早期アルツハイマー / Computed tomography / 画像統計解析 / computed tomography / z score / CT / アルツハイマー病 / CT |
Outline of Final Research Achievements |
Enlargement of the temporal horn of the lateral ventricle on CT images is an accurate diagnostic marker of Alzheimer's disease. We developed a z-score-based semi-quantitative analysis of the temporal horn volume of the lateral ventricle for detection of early Alzheimer's disease on CT images. The previous study showed that regional mean z score of the temporal horn of the lateral ventricle calculated using the method was highly correlated with the volume of the temporal horn of the lateral ventricle for 50 subjects (R2=0.94). Also, This scheme was applied to CT scans from 51 AD patients and 31 controls to evaluate the performance of the method for detecting Alzheimer's. The estimated temporal horn of the lateral ventricle volume was markedly increased in the Alzheimer's group compared with the controls (P < .0001). Therefore, this computerized method may have the potential to accurately detect early Alzheimer's on CT images.
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Report
(4 results)
Research Products
(7 results)
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[Journal Article] 頭部CT画像の自動MPR処理法2017
Author(s)
高橋規之,大村知己,豊嶋英仁
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Journal Title
Proceedings of the Japanese Society of CT Technology 2017
Volume: 5
Pages: 37-41
Related Report
Peer Reviewed
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