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Author:

Zhou, Zhuhuang (Zhou, Zhuhuang.) | Zhang, Qiyu (Zhang, Qiyu.) | Wu, Weiwei (Wu, Weiwei.) | Wu, Shuicai (Wu, Shuicai.) (Scholars:吴水才) | Tsui, Po-Hsiang (Tsui, Po-Hsiang.)

Indexed by:

Scopus SCIE

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.

Keyword:

quantitative ultrasound hepatic steatosis noninvasive assessment parametric imaging ultrasound tissue characterization envelope statistics

Author Community:

  • [ 1 ] [Zhou, Zhuhuang]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 2 ] [Zhang, Qiyu]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 3 ] [Wu, Shuicai]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 4 ] [Wu, Weiwei]Capital Med Univ, Coll Biomed Engn, Beijing 100054, Peoples R China
  • [ 5 ] [Tsui, Po-Hsiang]Chang Gung Univ, Dept Med Imaging & Radiol Sci, Coll Med, Taoyuan 33302, Taiwan
  • [ 6 ] [Tsui, Po-Hsiang]Chang Gung Univ, Inst Radiol Res, Med Imaging Res Ctr, Taoyuan 33302, Taiwan
  • [ 7 ] [Tsui, Po-Hsiang]Chang Gung Mem Hosp Linkou, Taoyuan 33302, Taiwan
  • [ 8 ] [Tsui, Po-Hsiang]Chang Gung Mem Hosp Linkou, Dept Med Imaging & Intervent, Taoyuan 33302, Taiwan

Reprint Author's Address:

  • 吴水才

    [Wu, Shuicai]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China;;[Tsui, Po-Hsiang]Chang Gung Univ, Dept Med Imaging & Radiol Sci, Coll Med, Taoyuan 33302, Taiwan;;[Tsui, Po-Hsiang]Chang Gung Univ, Inst Radiol Res, Med Imaging Res Ctr, Taoyuan 33302, Taiwan;;[Tsui, Po-Hsiang]Chang Gung Mem Hosp Linkou, Taoyuan 33302, Taiwan;;[Tsui, Po-Hsiang]Chang Gung Mem Hosp Linkou, Dept Med Imaging & Intervent, Taoyuan 33302, Taiwan

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Source :

APPLIED SCIENCES-BASEL

Year: 2019

Issue: 4

Volume: 9

2 . 7 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:136

JCR Journal Grade:2

Cited Count:

WoS CC Cited Count: 27

SCOPUS Cited Count: 28

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

Online/Total:440/10558111
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