Estimation of the Scatterer Distribution for Quantitative Diagnosis using Ultrasonic Image
| Project/Area Number |
09650456
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
計測・制御工学
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| Research Institution | CHIBA UNIVERSITY |
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Principal Investigator |
HACHIYA Hiroyuki Chiba University, Faculty of Engineering, Associate Professor, 工学部, 助教授 (90156349)
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| Project Period (FY) |
1997 – 1998
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| Project Status |
Completed (Fiscal Year 1998)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,900,000)
Fiscal Year 1998: ¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 1997: ¥2,400,000 (Direct Cost: ¥2,400,000)
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| Keywords | medical ultrasonics / living tissue / quantitative diagnosis / liver cirrhosis / Rayleigh distribution / scatterer / 医用超音波 / レイリー分布 |
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| Research Abstract |
In the B-mode image of the liver obtained by an ultrasonic imaging system, the speckled pattern changes with the progression of the disease such as liver cirrhosis. The human liver is composed of small hexagonal structures known as the liver lobules. We propose a modeling technique for the change of the scatterer distribution on liver tissue considering the liver lobule structure to obtain cirrhotic liver images of the continuous stage. The proposed modeling technique is valid for analyzing the relationship between the change of characteristics of biological tissue and change of B-mode image on the progression of liver cirrhosis. Then, we present the statistical characteristics of the echo envelope of the liver, and the technique to extract information of the scatterer distribution from the normal and cirrhotic liver images using constant false alarm rate (CFAR) processing. We analyze the relationship between the extracted scatterer distribution and the stage of liver cirrhosis. The ratio of the area in which the amplitude of the processing signal is more than the threshold to the entire processed image area is related quantitatively to the stage of liver cirrhosis. It is found that the proposed technique is valid for the quantitative diagnosis of liver cirrhosis.
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Report
(3 results)
Research Products
(12 results)
