Ultrasound Attenuation Estimation in Harmonic Imaging for Robust Fatty Liver Detection.


Journal

Ultrasound in medicine & biology
ISSN: 1879-291X
Titre abrégé: Ultrasound Med Biol
Pays: England
ID NLM: 0410553

Informations de publication

Date de publication:
11 2020
Historique:
received: 30 03 2020
revised: 22 06 2020
accepted: 09 07 2020
pubmed: 11 8 2020
medline: 27 8 2021
entrez: 11 8 2020
Statut: ppublish

Résumé

Accurate detection of liver steatosis is important for liver disease management. Ultrasound attenuation coefficient estimation (ACE) has great potential in quantifying liver fat content. The commonly used ACE methods (e.g., spectral shift methods, reference phantom methods) assume linear tissue response to ultrasound and were developed in fundamental imaging. However, fundamental imaging may be vulnerable to reverberation clutters introduced by the body wall. The clutters superimposed on liver echoes may bias the attenuation estimation. Here we propose a new ACE technique, the reference frequency method (RFM), in harmonic imaging to mitigate the reverberation bias. The accuracy of harmonic RFM was validated through a phantom study. In a pilot patient study, harmonic RFM performed more robustly in vivo compared with fundamental RFM, illustrating the potential of ACE in harmonic imaging.

Identifiants

pubmed: 32773254
pii: S0301-5629(20)30303-3
doi: 10.1016/j.ultrasmedbio.2020.07.006
pmc: PMC7534411
mid: NIHMS1620010
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

3080-3087

Subventions

Organisme : NIDDK NIH HHS
ID : R01 DK106957
Pays : United States
Organisme : NIDDK NIH HHS
ID : R21 DK121943
Pays : United States

Informations de copyright

Copyright © 2020 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest disclosure The authors declare that there is no conflict of interest regarding the publication of this article.

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Auteurs

Ping Gong (P)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Chenyun Zhou (C)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA; Department of Ultrasound, West China Hospital of Sichuan University, Chengdu, Sichuan, China.

Pengfei Song (P)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA; Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.

Chengwu Huang (C)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

U-Wai Lok (UW)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Shanshan Tang (S)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Kymberly Watt (K)

Department of Gastroenterology, Mayo Clinic, Rochester, Minnesota, USA.

Matthew Callstrom (M)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.

Shigao Chen (S)

Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA. Electronic address: Chen.Shigao@mayo.edu.

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