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Value of homodyned K distribution in ultrasound parametric imaging of hepatic steatosis: An animal study
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Value of homodyned K distribution in ultrasound parametric imaging of hepatic steatosis: An animal study

Zhuhuang Zhou, Jui Fang, Anca Cristea, Ying-Hsiu Lin, Yu-Wei Tsai, Yung-Liang Wan, Kee-Min Yeow, Ming-Chih Ho 和 Po-Hsiang Tsui
Ultrasonics, 卷.101, 頁.106001
01/02/2020
PMID: 31505328
Web of Science ID: WOS:000505022200013

摘要

Fatty liver Hepatic steatosis Homodyned K distribution Ultrasound imaging
•Homodyned K α parametric imaging based on the XU estimator was validated.•An appropriate window side length for the α parametric imaging was clarified.•The performance of α parametric imaging for characterizing different hepatic steatosis stages was demonstrated.•The α parametric imaging was additionally linked to information associated with the fatty droplet size. Ultrasound is the first-line tool for screening hepatic steatosis. Statistical distributions can be used to model the backscattered signals for liver characterization. The Nakagami distribution is the most frequently adopted model; however, the homodyned K (HK) distribution has received attention due to its link to physical meaning and improved parameter estimation through X- and U-statistics (termed “XU”). To assess hepatic steatosis, we proposed HK parametric imaging based on the α parameter (a measure of the number of scatterers per resolution cell) calculated using the XU estimator. Using a commercial system equipped with a 7-MHz linear array transducer, phantom experiments were performed to suggest an appropriate window size for α imaging using the sliding window technique, which was further applied to measuring the livers of rats (n = 66) with hepatic steatosis induced by feeding the rats a methionine- and choline-deficient diet. The relationships between the α parameter, the stage of hepatic steatosis, and histological features were verified by the correlation coefficient r, one-way analysis of variance, and regression analysis. The phantom results showed that the window side length corresponding to five times the pulse length supported a reliable α imaging. The α parameter showed a promising performance for grading hepatic steatosis (p < 0.05; r2 = 0.68). Compared with conventional Nakagami imaging, α parametric imaging provided significant information associated with fat droplet size (p < 0.05; r2 = 0.53), enabling further analysis and evaluation of severe hepatic steatosis.

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