Dependence of lung ultrasound vertical artifacts on frequency, bandwidth, focus and angle of incidence: An in vitro study.


Journal

The Journal of the Acoustical Society of America
ISSN: 1520-8524
Titre abrégé: J Acoust Soc Am
Pays: United States
ID NLM: 7503051

Informations de publication

Date de publication:
12 2021
Historique:
entrez: 1 1 2022
pubmed: 2 1 2022
medline: 3 3 2022
Statut: ppublish

Résumé

Lung ultrasound (LUS) is nowadays widely adopted by clinicians to evaluate the state of the lung surface. However, being mainly based on the evaluation of vertical artifacts, whose genesis is still unclear, LUS is affected by qualitative and subjective analyses. Even though semi-quantitative approaches supported by computer aided methods can reduce subjectivity, they do not consider the dependence of vertical artifacts on imaging parameters, and could not be classified as fully quantitative. They are indeed mainly based on scoring LUS images, reconstructed with standard clinical scanners, through the sole evaluation of visual patterns, whose visualization depends on imaging parameters. To develop quantitative techniques is therefore fundamental to understand which parameters influence the vertical artifacts' intensity. In this study, we quantitatively analyzed the dependence of nine vertical artifacts observed in a thorax phantom on four parameters, i.e., center frequency, focal point, bandwidth, and angle of incidence. The results showed how the vertical artifacts are significantly affected by these four parameters, and confirm that the center frequency is the most impactful parameter in artifacts' characterization. These parameters should hence be carefully considered when developing a LUS quantitative approach.

Identifiants

pubmed: 34972265
doi: 10.1121/10.0007482
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4075

Auteurs

Federico Mento (F)

Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123, Trento, Italy.

Libertario Demi (L)

Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123, Trento, Italy.

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Classifications MeSH