Computer-aided diagnosis of hepatic fibrosis : evaluation of 3T-MRI texture analysis using an artificial neural network
| Project/Area Number |
21791178
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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 |
Radiation science
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| Research Institution | Gifu University |
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Principal Investigator |
KATO Hiroki Gifu University, 医学部附属病院, 助教 (70377670)
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| Project Period (FY) |
2009 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 核磁気共鳴画像(MRI) / MRI / 3テスラ / 肝臓 / 線維化 / 肝硬変 / 人工ニューラルネットワーク / 人工知能 / コンピュータ支援診断 / 人工ニューラルモットワーク / コンピユータ支援診断 |
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| Research Abstract |
Texture analysis of 3-T MR images of the liver using artificial neural network (ANN) was a useful method for the non-invasive evaluation of hepatic fibrosis or cirrhosis. To select appropriate sizes of region of interests (ROIs) may improve the diagnostic performances of hepatic fibrosis.
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Report
(3 results)
Research Products
(3 results)
