Works (9)

Updated: July 5th, 2023 15:34

2021 journal article

Inferring pore radius and density from ultrasonic attenuation using physics-based modeling

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 149(1), 340–347.

By: R. White n, O. Yousefian*, H. Banks n, A. Alexanderian n & M. Mueller

MeSH headings : Bone Density; Bone and Bones; Cortical Bone / diagnostic imaging; Porosity; Ultrasonics; Ultrasonography
TL;DR: This work validates the use of both the ISA and WT approximations to model ultrasonic wave attenuation in heterogeneous structures mimicking cortical bone, and illustrates the effectiveness of both models in inferring pore radius and density solely from ultrasonic attenuation data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Source: Web Of Science
Added: February 15, 2021

2020 journal article

Evaluation of Structural Anisotropy in a Porous Titanium Medium Mimicking Trabecular Bone Structure Using Mode-Converted Ultrasonic Scattering

IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, 67(5), 1017–1024.

By: H. Du*, O. Yousefian n, T. Horn n & M. Muller n

author keywords: Bones; Anisotropic magnetoresistance; Acoustics; Scattering; Ultrasonic variables measurement; Ultrasonic imaging; Transducers; Anisotropy; metal additive manufacturing; mode conversion; trabecular bone; ultrasound scattering
MeSH headings : Algorithms; Animals; Anisotropy; Cancellous Bone / diagnostic imaging; Cancellous Bone / physiology; Horses; Image Processing, Computer-Assisted / methods; Models, Biological; Phantoms, Imaging; Porosity; Titanium / chemistry; Ultrasonography / instrumentation; Ultrasonography / methods
TL;DR: The mode-converted (longitudinal to transverse, L-T) ultrasonic scattering method was utilized to characterize the structural anisotropy of a phantom mimicking the structural properties of trabecular bone, suggesting the potential of mode- Converts to assess the anisotropic of materials with porous, complex structures, including trabECular bone. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: May 26, 2020

2020 journal article

Frequency-dependent analysis of ultrasound apparent absorption coefficient in multiple scattering porous media: application to cortical bone

PHYSICS IN MEDICINE AND BIOLOGY, 66(3).

By: O. Yousefian n, Y. Karbalaeisadegh n & M. Mueller

author keywords: attenuation; absorption; FDTD; cortical bone; biomedical ultrasound; spectroscopy
MeSH headings : Computer Simulation; Cortical Bone / diagnostic imaging; Humans; Models, Biological; Porosity; Scattering, Radiation; Ultrasonography / methods
TL;DR: The effect of matrix viscoelastic absorption on frequency-dependent attenuation in porous structures mimicking simplified cortical bone is addressed and the total attenuation coefficient results from the summation of scattering and absorption coefficients. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Source: Web Of Science
Added: March 8, 2021

2019 journal article

Acoustic diffusion constant of cortical bone: Numerical simulation study of the effect of pore size and pore density on multiple scattering

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 146(2), 1015–1023.

By: Y. Karbalaeisadegh n, O. Yousefian n, G. Iori*, K. Raum* & M. Muller n

MeSH headings : Bone Conduction; Cortical Bone / physiology; Cortical Bone / ultrastructure; Femur / ultrastructure; Humans; Microscopy, Acoustic; Models, Theoretical; Porosity; Scattering, Radiation; Ultrasonic Waves
TL;DR: Finite-difference time-domain simulations were conducted in cortical microstructures derived from acoustic microscopy images of human proximal femur cross sections and modified by controlling the density and pore size, suggesting the potential of the proposed technique for the characterization of the cortical microarchitecture. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: September 23, 2019

2019 journal article

Artificial neural network to estimate micro-architectural properties of cortical bone using ultrasonic attenuation: A 2-D numerical study

COMPUTERS IN BIOLOGY AND MEDICINE, 114.

By: K. Mohanty n, O. Yousefian n, Y. Karbalaeisadegh n, M. Ulrich n, Q. Grimal* & M. Muller n

MeSH headings : Cortical Bone / anatomy & histology; Cortical Bone / diagnostic imaging; Humans; Image Processing, Computer-Assisted / methods; Neural Networks, Computer; Osteoporosis; Porosity; Tomography, X-Ray Computed; Ultrasonography / methods
TL;DR: An artificial neural network (ANN) is used as a tool to help inform physics-based modelling of ultrasound propagation in complex media such as cortical bone to retrieve bone micro-architectural parameters from ultrasound measurements for the non-invasive diagnosis and monitoring osteoporosis. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: November 25, 2019

2019 journal article

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, 64(15).

By: O. Yousefian n, Y. Karbalaeisadegh n & M. Muller n

author keywords: ultrasound; attenuation; independent scattering approximation; cortical bone; FDTD
MeSH headings : Algorithms; Cortical Bone / diagnostic imaging; Humans; Ultrasonography / methods
TL;DR: The results show that the modified ISA can model the frequency-dependent attenuation of ultrasonic wave with pore diameter and density ranges comparable to those of cortical bone. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: April 20, 2020

2019 article

Predicting Structural Properties of Cortical Bone by Combining Ultrasonic Attenuation and an Artificial Neural Network (ANN): 2-D FDTD Study

IMAGE ANALYSIS AND RECOGNITION, ICIAR 2019, PT I, Vol. 11662, pp. 407–417.

By: K. Mohanty n, O. Yousefian n, Y. Karbalaeisadegh n, M. Ulrich n & M. Muller n

author keywords: Quantitative ultrasound; Multiple scattering; Cortical bone; Osteoporosis; Neural networks
TL;DR: It was observed that the ANN predicted the micro-architectural parameters of the cortical bone with high accuracies and low losses with a minimum R2 (goodness of fit) value of 0.95. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: September 14, 2020

2018 journal article

Point-by-point prediction of cutting force in 3-axis CNC milling machines through voxel framework in digital manufacturing

JOURNAL OF INTELLIGENT MANUFACTURING, 31(1), 215–226.

By: O. Yousefian n, A. Balabokhin* & J. Tarbutton*

author keywords: Cutting force prediction; Digital manufacturing; Voxel-based framework
TL;DR: Comparisons of the predicted and measured forces show that this digital approach can be used to accurately predict forces during machining. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: February 27, 2020

2018 journal article

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

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 144(2), 709–719.

By: O. Yousefian n, R. White n, Y. Karbalaeisadegh n, H. Banks n & M. Muller n

TL;DR: The sensitivity of the model to various parameter estimates depends on the micro-architectural parameters, pore diameter and pore density, so the ability to estimate model-sensitive parameters with a high degree of confidence is established. (via Semantic Scholar)
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: October 16, 2018

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