ArticleThe Journal of the Acoustical Society of America2018
The effect of pore size and density on ultrasonic attenuation in porous structures with mono-disperse random pore distribution: A two-dimensional in-silico study.
Article in The Journal of the Acoustical Society of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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Who cites it
15 citing papers in PubMed, 33 citations in OpenAlex.
- The speed of sound in skull-mimicking digital phantoms depends on the microstructure.Physics in medicine and biology · 2025Article
- Influence of bone microstructure on ultrasound loss through skull-mimicking digital phantoms.Medical physics · 2025Article
- Ultrasound Characterization of Cortical Bone Using Shannon Entropy.Ultrasound in medicine & biology · 2023Article
- Using ultrasonic attenuation in cortical bone to infer distributions on pore size.Applied mathematical modelling · 2022Article
- Axial Transmission: Techniques, Devices and Clinical Results.Advances in experimental medicine and biology · 2022Article
- Ultrasound Scattering in Cortical Bone.Advances in experimental medicine and biology · 2022Article
- Ultrasonic Assessment of Cancellous Bone Based on the Two-Wave Phenomenon.Advances in experimental medicine and biology · 2022Article
- Acoustic Attenuation: Multifrequency Measurement and Relationship to CT and MR Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021Article
- Frequency-dependent analysis of ultrasound apparent absorption coefficient in multiple scattering porous media: application to cortical bone.Physics in medicine and biology · 2021Article
- Inferring pore radius and density from ultrasonic attenuation using physics-based modeling.The Journal of the Acoustical Society of America · 2021Article
- Artificial neural network to estimate micro-architectural properties of cortical bone using ultrasonic attenuation: A 2-D numerical study.Computers in biology and medicine · 2019Article
- Modeling ultrasound attenuation in porous structures with mono-disperse random pore distributions using the independent scattering approximation: a 2D simulation study.Physics in medicine and biology · 2019Article
- Predicting Structural Properties of Cortical Bone by Combining Ultrasonic Attenuation and an Artificial Neural Network (ANN): 2-D FDTD Study.Image Analysis and Recognition: International Conference, ICIAR ... : proceedings. ICIAR · 2019Article
- Inferring porosity from frequency dependent attenuation in cortical bone mimicking porous media.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2018Article
- Influence of micro-structural parameters on apparent absorption coefficient in porous structures mimicking cortical bone.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2018Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
This work proposes a power law model to describe the attenuation of ultrasonic waves in non-absorbing heterogeneous media with randomly distributed scatterers, mimicking a simplified structure of cortical bone. This paper models the propagation in heterogeneous structures with controlled porosity using a two-dimensional finite-difference time domain numerical simulation in order to measure the frequency dependent attenuation. The paper then fits a phenomenological model to the simulated frequency dependent attenuation by optimizing parameters under an ordinary least squares framework. Local sensitivity analysis is then performed on the resulting parameter estimates in order to determine to which estimates the model is most sensitive. This paper finds that the sensitivity of the model to various parameter estimates depends on the micro-architectural parameters, pore diameter (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.