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Synthetic dataset for visco-acoustic imaging

We provide computationally generated dataset simulating propagation of ultrasonic waves in viscous tissues in two and three dimensional domains. The dataset contains physical parameters of a human breast with a high-contrast inclusion, the acquisition setup with positions of sources and receivers, a...

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Detalles Bibliográficos
Autores principales: Faucher, Florian, Scherzer, Otmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192678/
https://www.ncbi.nlm.nih.gov/pubmed/37213560
http://dx.doi.org/10.1016/j.dib.2023.109199
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author Faucher, Florian
Scherzer, Otmar
author_facet Faucher, Florian
Scherzer, Otmar
author_sort Faucher, Florian
collection PubMed
description We provide computationally generated dataset simulating propagation of ultrasonic waves in viscous tissues in two and three dimensional domains. The dataset contains physical parameters of a human breast with a high-contrast inclusion, the acquisition setup with positions of sources and receivers, and the associated pressure-wave data at ultrasonic frequencies. We simulated the wave propagation based on seven different viscous models using the physical parameters of the breast. Furthermore, different choices of conditions for the medium's boundaries are given, namely absorbing and reflecting boundaries. The dataset allows to evaluate the performance of reconstruction methods for ultrasound imaging under attenuation model uncertainty, that is, when the precise attenuation law that characterizes the medium is unknown. In addition, the dataset enables to evaluate the robustness of inverse scheme in the context of reflecting boundary conditions where multiple reflections illuminate the sample, and/or the performance of data-processing to suppress these multiple reflections.
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spelling pubmed-101926782023-05-19 Synthetic dataset for visco-acoustic imaging Faucher, Florian Scherzer, Otmar Data Brief Data Article We provide computationally generated dataset simulating propagation of ultrasonic waves in viscous tissues in two and three dimensional domains. The dataset contains physical parameters of a human breast with a high-contrast inclusion, the acquisition setup with positions of sources and receivers, and the associated pressure-wave data at ultrasonic frequencies. We simulated the wave propagation based on seven different viscous models using the physical parameters of the breast. Furthermore, different choices of conditions for the medium's boundaries are given, namely absorbing and reflecting boundaries. The dataset allows to evaluate the performance of reconstruction methods for ultrasound imaging under attenuation model uncertainty, that is, when the precise attenuation law that characterizes the medium is unknown. In addition, the dataset enables to evaluate the robustness of inverse scheme in the context of reflecting boundary conditions where multiple reflections illuminate the sample, and/or the performance of data-processing to suppress these multiple reflections. Elsevier 2023-05-03 /pmc/articles/PMC10192678/ /pubmed/37213560 http://dx.doi.org/10.1016/j.dib.2023.109199 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Faucher, Florian
Scherzer, Otmar
Synthetic dataset for visco-acoustic imaging
title Synthetic dataset for visco-acoustic imaging
title_full Synthetic dataset for visco-acoustic imaging
title_fullStr Synthetic dataset for visco-acoustic imaging
title_full_unstemmed Synthetic dataset for visco-acoustic imaging
title_short Synthetic dataset for visco-acoustic imaging
title_sort synthetic dataset for visco-acoustic imaging
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192678/
https://www.ncbi.nlm.nih.gov/pubmed/37213560
http://dx.doi.org/10.1016/j.dib.2023.109199
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