2022 Fiscal Year Final Research Report
Quantitative diagnosis method of chronic liver disease based on acoustic characteristics of tissues
| Project/Area Number |
20K12665
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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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| Review Section |
Basic Section 90130:Medical systems-related
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | 超音波医学 / 定量診断 / shear wave / エラストグラフィー / 組織鑑別診断 / レイリー分布 / 肝炎 / びまん性肝疾患 |
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| Outline of Final Research Achievements |
To realize the quantitative diagnosis of chronic liver disease, we analyzed changes in ultrasound scattering characteristics and shear wave propagation characteristics due to the progression of liver tissue lesions, and investigated a method for stably quantifying and diagnosing early stage of diseases. In diagnosis using scattered waves, multiple Rayleigh distributions are combined to model the amplitude probability density function of scattered waves, and the non-integer moment of the distribution function, which is highly sensitive to lesion changes, was used to improve the detection accuracy of early lesions. In quantitative diagnosis using shear waves, the frequency characteristics of the propagation speed and attenuation of shear waves in tissues are analyzed using the complex wave number of shear waves, and the viscoelastic characteristics associated with lesion changes in tissues was obtained. It became possible to detect early stage of diseases with high accuracy.
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| Free Research Field |
医用超音波工学・超音波応用計測
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| Academic Significance and Societal Importance of the Research Achievements |
われわれは，音響的構築が変化するとどのような信号変化が生じるのかを詳細に検討し，複数の音響特性を融合することで，組織線維構造の情報を抽出する新しい定量診断技術を開発してきた。しかし，初期病変の検出精度は不十分であった。本研究では，病変の進行による生体組織の音響的変化と超音波信号の関係を複数の方法で詳細に検討し，初期病変検出精度を向上させることができた。この成果は，「超音波定量診断学」の確立に寄与し，超音波医学分野の進歩に貢献している。
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