[HTML][HTML] Hepatic steatosis assessment using quantitative ultrasound parametric imaging based on backscatter envelope statistics

Z Zhou, Q Zhang, W Wu, S Wu, PH Tsui - Applied Sciences, 2019 - mdpi.com
Hepatic steatosis is a key manifestation of non-alcoholic fatty liver disease (NAFLD). Early
detection of hepatic steatosis is of critical importance. Currently, liver biopsy is the clinical …

Ultrasound backscatter envelope statistics parametric imaging for liver fibrosis characterization: A review

Z Zhou, A Gao, Q Zhang, W Wu, S Wu… - Ultrasonic …, 2020 - journals.sagepub.com
Early detection and diagnosis of liver fibrosis is of critical importance. Currently the gold
standard for diagnosing liver fibrosis is biopsy. However, liver biopsy is invasive and …

Parallelized ultrasound homodyned-K imaging based on a generalized artificial neural network estimator

X Wu, K Lv, S Wu, DI Tai, PH Tsui, Z Zhou - Ultrasonics, 2023 - Elsevier
The homodyned-K (HK) distribution model is a generalized backscatter envelope statistical
model for ultrasound tissue characterization, whose parameters are of physical meaning. To …

Parameter estimation of the homodyned K distribution based on an artificial neural network for ultrasound tissue characterization

Z Zhou, A Gao, W Wu, DI Tai, JH Tseng, S Wu, PH Tsui - Ultrasonics, 2021 - Elsevier
The homodyned K (HK) distribution allows a general description of ultrasound backscatter
envelope statistics with specific physical meanings. In this study, we proposed a new …

A mathematical fuzzy fusion framework for whole tumor segmentation in multimodal MRI using Nakagami imaging

O Alpar - Expert Systems with Applications, 2023 - Elsevier
Automated lesion segmentation has become one of the most important tasks for the experts
and researchers dealing with intelligent image processing of brain magnetic resonance …

Nakagami-Fuzzy imaging framework for precise lesion segmentation in MRI

O Alpar, R Dolezal, P Ryska, O Krejcar - Pattern Recognition, 2022 - Elsevier
Nakagami distribution and related imaging methods are very efficient in diagnostic
ultrasonography for visualization and characterization of tissues for years. Abnormalities in …

[HTML][HTML] Clinical value of information entropy compared with deep learning for ultrasound grading of hepatic steatosis

JR Chen, YP Chao, YW Tsai, HJ Chan, YL Wan, DI Tai… - Entropy, 2020 - mdpi.com
Entropy is a quantitative measure of signal uncertainty and has been widely applied to
ultrasound tissue characterization. Ultrasound assessment of hepatic steatosis typically …

[HTML][HTML] Hepatic steatosis assessment using ultrasound homodyned-K parametric imaging: the effects of estimators

Z Zhou, Q Zhang, W Wu, YH Lin, DI Tai… - … Imaging in Medicine …, 2019 - ncbi.nlm.nih.gov
Background The homodyned-K (HK) distribution is an important statistical model for
describing ultrasound backscatter envelope statistics. HK parametric imaging has shown …

Scattering signatures of normal versus abnormal livers with support vector machine classification

J Baek, SS Poul, TA Swanson, T Tuthill… - Ultrasound in medicine & …, 2020 - Elsevier
Fifty years of research on the nature of backscatter from tissues has resulted in a number of
promising diagnostic parameters. We recently introduced two analyses tied directly to the …

Nakagami imaging and morphing for multiple sclerosis lesion volume estimation

O Alpar, O Soukup, P Ryska, R Dvorakova… - Expert Systems with …, 2024 - Elsevier
Monitoring and tracking the size and the number of multiple sclerosis (MS) lesions is very
important in clinical medicine to understand the course and estimate the progression of this …