Ultrasound Sample Entropy Imaging: A New Approach for Evaluating Hepatic Steatosis and Fibrosis

Chan, Hsien-Jung; Zhou, Zhuhuang; Fang, Jui; Tai, Dar‐In; Tseng, Jeng‐Hwei; Lai, Ming‐Wei; Hsieh, Bao-Yu; Yamaguchi, Tadashi; Tsui, Po-Hsiang

doi:10.1109/jtehm.2021.3124937

Cited by 10 publications

(2 citation statements)

References 42 publications

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“…Note that there are other kinds of entropy measures in addition to the Shannon, Renyi, and Tsallis entropy methods. In our previous work [34], we introduced ultrasound sample entropy imaging for liver tissue characterizations. Unlike the Shannon entropy based on probability or PDF estimations by conventional histogram-based or proposed KDE-based methods, sample entropy was determined by the dimension parameter, m, and the tolerance parameter, r [34].…”

Section: Discussionmentioning

confidence: 99%

“…In our previous work [34], we introduced ultrasound sample entropy imaging for liver tissue characterizations. Unlike the Shannon entropy based on probability or PDF estimations by conventional histogram-based or proposed KDE-based methods, sample entropy was determined by the dimension parameter, m, and the tolerance parameter, r [34]. The drawback of the sample entropy method lies in the fact that the two critical parameters, m and r, should be set empirically or experimentally.…”

Section: Discussionmentioning

confidence: 99%

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Ultrasound Entropy Imaging Based on the Kernel Density Estimation: A New Approach to Hepatic Steatosis Characterization

Gao,

Tsui,

et al. 2023

Diagnostics

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In this paper, we present the kernel density estimation (KDE)-based parallelized ultrasound entropy imaging and apply it for hepatic steatosis characterization. A KDE technique was used to estimate the probability density function (PDF) of ultrasound backscattered signals. The estimated PDF was utilized to estimate the Shannon entropy to construct parametric images. In addition, the parallel computation technique was incorporated. Clinical experiments of hepatic steatosis were conducted to validate the feasibility of the proposed method. Seventy-two participants and 204 patients with different grades of hepatic steatosis were included. The experimental results show that the KDE-based entropy parameter correlates with log10 (hepatic fat fractions) measured by magnetic resonance spectroscopy in the 72 participants (Pearson’s r = 0.52, p < 0.0001), and its areas under the receiver operating characteristic curves for diagnosing hepatic steatosis grades ≥ mild, ≥moderate, and ≥severe are 0.65, 0.73, and 0.80, respectively, for the 204 patients. The proposed method overcomes the drawbacks of conventional histogram-based ultrasound entropy imaging, including limited dynamic ranges and histogram settings dependence, although the diagnostic performance is slightly worse than conventional histogram-based entropy imaging. The proposed KDE-based parallelized ultrasound entropy imaging technique may be used as a new ultrasound entropy imaging method for hepatic steatosis characterization.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Ultrasound Entropy Imaging Based on the Kernel Density Estimation: A New Approach to Hepatic Steatosis Characterization

Gao,

Tsui,

et al. 2023

Diagnostics

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Ultrasound attenuation imaging as a strategy for evaluation of early and late ambulatory functions in Duchenne muscular dystrophy

Yan,

Li,

Chuang

et al. 2024

Medical Physics

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BackgroundDuchenne muscular dystrophy (DMD) is a genetic neuromuscular disorder that leads to mobility loss and life‐threatening cardiac or respiratory complications. Quantitative ultrasound (QUS) envelope statistics imaging, which characterizes fat infiltration and fibrosis in muscles, has been extensively used for DMD evaluations.PurposeNotably, changes in muscle microstructures also result in acoustic attenuation, potentially serving as another crucial imaging biomarker for DMD. Expanding upon the reference frequency method (RFM), this study contributes to the field by introducing the robust RFM (RRFM) as a novel approach for ultrasound attenuation imaging in DMD.MethodsThe RRFM algorithm was developed using an iterative reweighted least squares technique. We conducted standard phantom measurements with a clinical ultrasound system equipped with a linear array transducer to assess the improvement in attenuation estimation bias by RRFM. Additionally, 161 DMD patients, included in both a validation dataset (n = 130) and a testing dataset (n = 31), underwent ultrasound scanning of the gastrocnemius for RRFM‐based attenuation imaging. The diagnostic performances for ambulatory functions and discrimination between early and late ambulatory stages were evaluated and compared with those of QUS envelope statistics imaging (involving Nakagami distribution, homodyned K distribution, and entropy values) using the area under the receiver operating characteristic curve (AUROC).ResultsThe results indicated that the RRFM method more closely matched the actual attenuation properties of the phantom, reducing measurement bias by 50% compared to conventional RFM. The AUROCs for RRFM‐based attenuation imaging, used to discriminate between early and late ambulatory stages, were 0.88 and 0.92 for the validation and testing datasets, respectively. These performances significantly surpassed those of QUS envelope statistics imaging (p < 0.05).ConclusionsUltrasound attenuation imaging employing RRFM may serve as a sensitive tool for evaluating the progression of ambulatory function deterioration, offering substantial potential for the health management and follow‐up care of DMD patients.

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Information Entropy and Its Applications

Tsui

2023

Advances in Experimental Medicine and Biology

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Ultrasound Sample Entropy Imaging: A New Approach for Evaluating Hepatic Steatosis and Fibrosis

Cited by 10 publications

References 42 publications

Ultrasound Entropy Imaging Based on the Kernel Density Estimation: A New Approach to Hepatic Steatosis Characterization

Ultrasound Entropy Imaging Based on the Kernel Density Estimation: A New Approach to Hepatic Steatosis Characterization

Ultrasound attenuation imaging as a strategy for evaluation of early and late ambulatory functions in Duchenne muscular dystrophy

Information Entropy and Its Applications

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