Evidence map›Paper›PMID 31207588›Full record

ArticlePhysics in medicine and biology2019

Modeling ultrasound attenuation in porous structures with mono-disperse random pore distributions using the independent scattering approximation: a 2D simulation study.

Omid Yousefian, Yasamin Karbalaeisadegh, Marie Muller

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Ultrasound Scattering in Cortical Bone.Advances in experimental medicine and biology · 2022
    Article
  5. Article
  6. Article
  7. Modeling Frequency Dependent Ultrasound Attenuation in Cortical Bone: Solving Direct and Inverse Problems.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020
    Article
  8. 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 Department, North Carolina State University, Raleigh, NC 27606, United States of America.ORCID 0000-0002-5990-3744
Yasamin KarbalaeisadeghMechanical and Aerospace Engineering Department, North Carolina State University, Raleigh, NC 27606, United States of America.
Marie MullerMechanical and Aerospace Engineering Department, 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 validity of the independent scattering approximation (ISA) to predict the frequency dependent attenuation in 2D models of simplified structures of cortical bone is studied. Attenuation of plane waves at central frequencies ranging from 1 to 8 MHz propagating in structures with mono-disperse random pore distributions with pore diameter and pore density in the range of those of cortical bone are evaluated by finite difference time domain numerical simulations. An approach to assess the multiple scattering of waves in random media is discussed to determine the pore diameter ranges at which the ISA is applicable. A modified version of the ISA is proposed to more accurately predict the attenuation in porosity ranges where it would traditionally fail. 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.

Indexed as

AlgorithmsCortical BoneHumansUltrasonography

Identifiers

PMID31207588
PMCPMC6775775

What OpenQuestion holds

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Registered trials

None linked

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.