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Erschienen in:

05.08.2022 | Original Article–Physics & Engineering

The effect of attenuation inside the acoustic traps on the configuration of vertical artifacts in lung ultrasound: an experimental study with simple models

verfasst von: Toru Kameda, Naohisa Kamiyama, Nobuyuki Taniguchi

Erschienen in: Journal of Medical Ultrasonics | Ausgabe 4/2022

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Abstract

Purpose

Using simple experimental models for lung ultrasound, we evaluated the relationship of the attenuation inside the sources of vertical artifacts to the echo intensity and attenuation of artifacts.

Methods

As sources of artifacts, we made 10 different hemispherical gel objects with two different mediums (pure agar or agar containing graphite with an attenuation coefficient of 0.5 dB/cm · MHz) and five different diameters (3.6, 5.6, 7.5, 9.5, or 11.4 mm). Ten of each hemispherical gel object were prepared for the statistical analyses. Each object was placed onto a chest wall phantom as the plane of the hemisphere was placed in an upward position. The echo intensity and attenuation of the artifact generated from each object was measured and compared.

Results

For all sizes, the intensity and attenuation of the artifacts in the objects made of agar containing graphite were significantly lower and larger, respectively, than those in the objects made of pure agar. In the objects containing graphite, the intensity decreased when the frequency was changed from 5 to 9 MHz.

Conclusion

Based on this experiment, assessing the intensity and attenuation of vertical artifacts may help estimate the physical composition of sources of vertical artifacts in lung ultrasound.
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Metadaten
Titel
The effect of attenuation inside the acoustic traps on the configuration of vertical artifacts in lung ultrasound: an experimental study with simple models
verfasst von
Toru Kameda
Naohisa Kamiyama
Nobuyuki Taniguchi
Publikationsdatum
05.08.2022
Verlag
Springer Nature Singapore
Erschienen in
Journal of Medical Ultrasonics / Ausgabe 4/2022
Print ISSN: 1346-4523
Elektronische ISSN: 1613-2254
DOI
https://doi.org/10.1007/s10396-022-01244-0

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