Next Article in Journal
Reliable Visual Exploration System with Fault Tolerance Structure
Next Article in Special Issue
Effects of Hepatic Steatosis on Non-Invasive Liver Fibrosis Measurements Between Hepatitis B and Other Etiologies
Previous Article in Journal
Activation of Murine Immune Cells upon Co-culture with Plasma-treated B16F10 Melanoma Cells
Previous Article in Special Issue
Rehabilitative Ultrasound Imaging Evaluation in Physiotherapy: Piloting a Systematic Review
Article Menu
Issue 4 (February-2) cover image

Export Article

Open AccessReview

Hepatic Steatosis Assessment Using Quantitative Ultrasound Parametric Imaging Based on Backscatter Envelope Statistics

1
College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
2
College of Biomedical Engineering, Capital Medical University, Beijing 100054, China
3
Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
4
Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital at Linkou, Taoyuan 33302, Taiwan
5
Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 33302, Taiwan
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2019, 9(4), 661; https://doi.org/10.3390/app9040661
Received: 18 January 2019 / Accepted: 7 February 2019 / Published: 15 February 2019
(This article belongs to the Special Issue Ultrasound Technology for Clinical Diagnosis and Decisions Making)
  |  
PDF [1297 KB, uploaded 15 February 2019]
  |  

Abstract

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 golden standard for hepatic steatosis assessment. However, liver biopsy is invasive and associated with sampling errors. Ultrasound has been recommended as a first-line diagnostic test for the management of NAFLD. However, B-mode ultrasound is qualitative and can be affected by factors including image post-processing parameters. Quantitative ultrasound (QUS) aims to extract quantified acoustic parameters from the ultrasound backscattered signals for ultrasound tissue characterization and can be a complement to conventional B-mode ultrasound. QUS envelope statistics techniques, both statistical model-based and non-model-based, have shown potential for hepatic steatosis characterization. However, a state-of-the-art review of hepatic steatosis assessment using envelope statistics techniques is still lacking. In this paper, envelope statistics-based QUS parametric imaging techniques for characterizing hepatic steatosis are reviewed and discussed. The reviewed ultrasound envelope statistics parametric imaging techniques include acoustic structure quantification imaging, ultrasound Nakagami imaging, homodyned-K imaging, kurtosis imaging, and entropy imaging. Future developments are suggested. View Full-Text
Keywords: hepatic steatosis; noninvasive assessment; quantitative ultrasound; parametric imaging; envelope statistics; ultrasound tissue characterization hepatic steatosis; noninvasive assessment; quantitative ultrasound; parametric imaging; envelope statistics; ultrasound tissue characterization
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhou, Z.; Zhang, Q.; Wu, W.; Wu, S.; Tsui, P.-H. Hepatic Steatosis Assessment Using Quantitative Ultrasound Parametric Imaging Based on Backscatter Envelope Statistics. Appl. Sci. 2019, 9, 661.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top