| Project/Area Number |
25282153
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Medical systems
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
HIRATA Shinnosuke 東京工業大学, 理工学研究科, 助教 (80550970)
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| Co-Investigator(Renkei-kenkyūsha) |
YAMAGUCHI TADASHI 千葉大学, フロンティア医工学センター, 教授 (40334172)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥19,110,000 (Direct Cost: ¥14,700,000、Indirect Cost: ¥4,410,000)
Fiscal Year 2015: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2014: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2013: ¥10,920,000 (Direct Cost: ¥8,400,000、Indirect Cost: ¥2,520,000)
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| Keywords | 医用超音波 / 定量診断 / 組織鑑別診断 / びまん性肝疾患 / 肝炎 / 振幅確率密度分布 / レイリー分布 / 線維化診断 / 振幅確率密度関数 |
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| Outline of Final Research Achievements |
The development of a quantitative diagnostic method for liver fibrosis using an ultrasound B-mode image is highly required because of its real-time observation and noninvasive properties. To approximate the probability density function (PDF) of echo amplitudes from a heterogeneous tissue such as liver fibrosis, we proposed a new PDF model which is called a multi-Rayleigh model. From the multi-Rayleigh model, fibrosis parameters, such as the amount of fibrotic tissue and its progressive ratio, can be extracted. To visualize fibrotic tissues, a probability imaging method for tissue characteristics based on the multi-Rayleigh model was proposed, and to improve the evaluation accuracy, a removal method for nonspeckle signals was proposed. We showed that the information on fibrotic tissue can be extracted more accurately using the fibrotic probability than using the conventional method. We conclude that the proposed method is valid for the quantitative diagnosis of liver fibrosis.
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