Computer-Aided Diagnosis for Brain Check-up
| Project/Area Number |
24591815
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Radiation science
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| Research Institution | Kumamoto University |
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Principal Investigator |
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | ラクナ梗塞 / 未破裂脳動脈瘤 / コンピュータ支援診断 / 脳動脈瘤 |
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| Outline of Final Research Achievements |
The purpose of this study is to sophisticate two CAD schemes: (1) for the detection of lacunar infarcts on MR images and (2) for the detection of unruptured aneurysms on MRA images. To improve the method for distinguishing between lacunar infarcts and false positives, we developed eigenspace template matching, kernel eigenspace template matching, and AdaBoost template matching. In addition, we developed a novel technique by using gradient concentration filter bank and random forest in order to sophisticate the method for distinguishing between unruptured aneurysms and false positives. By using these proposed method, we could achieve a high detection performance compared with conventional methods.
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Report
(4 results)
Research Products
(24 results)
