Spatial Coherence in Medical Ultrasound: A Review.

Acoustics Ultrasonography / methods
Beamforming Clutter reduction Image quality characterization Spatial coherence Tissue characterization

Journal

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

Informations de publication

Date de publication:
06 2022
Historique:
received: 30 09 2021
revised: 10 01 2022
accepted: 16 01 2022
pubmed: 15 3 2022
medline: 28 4 2022
entrez: 14 3 2022
Statut: ppublish

Résumé

Traditional pulse-echo ultrasound imaging heavily relies on the discernment of signals based on their relative magnitudes but is limited in its ability to mitigate sources of image degradation, the most prevalent of which is acoustic clutter. Advances in computing power and data storage have made it possible for echo data to be alternatively analyzed through the lens of spatial coherence, a measure of the similarity of these signals received across an array. Spatial coherence is not currently explicitly calculated on diagnostic ultrasound scanners but a large number of studies indicate that it can be employed to describe image quality, to adaptively select system parameters and to improve imaging and target detection. With the additional insights provided by spatial coherence, it is poised to play a significant role in the future of medical ultrasound. This review details the theory of spatial coherence in pulse-echo ultrasound and key advances made over the last few decades since its introduction in the 1980s.

Identifiants

DOI: 10.1016/j.ultrasmedbio.2022.01.009 PMID: 35282988 PMC: PMC9067166
pubmed: 35282988
pii: S0301-5629(22)00031-X
doi: 10.1016/j.ultrasmedbio.2022.01.009
pmc: PMC9067166
mid: NIHMS1794076
pii:
doi:

Types de publication

Journal Article Review Research Support, U.S. Gov't, Non-P.H.S. Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

975-996

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB017711
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB026574
Pays : United States

Informations de copyright

Copyright © 2022 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

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Auteurs

James Long (J)

Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA. Electronic address: j.long@duke.edu.

Gregg Trahey (G)

Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA.

Nick Bottenus (N)

Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.

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Classifications MeSH

questionsmedicales.fr › Disciplines des sciences naturelles › Physique › Acoustique › Spatial Coherence in Medical Ultrasound: A Review.
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Échographie › Spatial Coherence in Medical Ultrasound: A Review.