Evidence map›Paper›PMID 32937603›Full record

ArticlePhysics in medicine and biology2021

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

Omid Yousefian, Yasamin Karbalaeisadegh, Marie Muller

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Ultrasound Scattering in Cortical Bone.Advances in experimental medicine and biology · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Omid YousefianMechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27606, United States of America.ORCID 0000-0002-5990-3744
Yasamin KarbalaeisadeghMechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27606, United States of America.
Marie MullerMechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27606, United States of America.

Funding

Assessment of bone micro-structure using ultrasonic methodsR03EB022743 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MULLER, MARIE · 2016 to 2017
$139k
NIBIB NIH HHS R03 EB022743
6 · The paper itself

Abstract

The effect of matrix viscoelastic absorption on frequency-dependent attenuation in porous structures mimicking simplified cortical bone is addressed in this numerical study. An apparent absorption is defined to quantify the difference between total attenuation (resulting from both absorption and scattering) and attenuation exclusively due to scattering. A power-law model is then used to describe the frequency-dependent apparent absorption as a function of pore diameter and density. The frequency response of the porous structures to a Gaussian pulse is studied to determine the frequency range over which the system can be considered linear. The results show that for low scattering regimes (normalized frequency [Formula: see text]0.80), the system and its apparent absorption can be considered linear. Hence, the total attenuation coefficient results from the summation of scattering and absorption coefficients. However, for highly scattering regimes, the system can no longer be considered linear, as the apparent absorption vs. frequency deviates from a linear trend. As the pore density increases, the apparent absorption coefficient increases as well.

Indexed as

Computer SimulationModels, BiologicalCortical BoneHumansPorosityScattering, RadiationUltrasonography

Identifiers

PMID32937603
PMCPMC10851310

What OpenQuestion holds

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Registered trials

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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.