Evidence map›Paper›PMID 20113862›Full record

ArticleUltrasound in medicine & biology2010

Decomposition of two-component ultrasound pulses in cancellous bone using modified least squares prony method--phantom experiment and simulation.

Keith A Wear

Open access · greenAbstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.0field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 35 citations in OpenAlex.

  1. Mechanisms of Interaction of Ultrasound With Cancellous Bone: A Review.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020
    Review
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  7. Role of structural anisotropy of biological tissues in poroelastic wave propagation.Mechanics of materials : an international journal · 2012
    Article
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  10. Fabric dependence of quasi-waves in anisotropic porous media.The Journal of the Acoustical Society of America · 2011
    Article
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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

1 author at 1 institution in 1 country.

Keith A WearCenter for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD 20993, USA. keith.wear@fda.hhs.gov
United States Food and Drug Administration · US

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

Porous media such as cancellous bone often support the simultaneous propagation of two compressional waves. When small bone samples are interrogated in through-transmission with broadband sources, these two waves often overlap in time. The modified least-squares Prony's (MLSP) method was tested for decomposing a 500 kHz-center-frequency signal containing two overlapping components: one passing through a polycarbonate plate (to produce the "fast" wave) and another passing through a cancellous-bone-mimicking phantom (to produce the "slow" wave). The MLSP method yielded estimates of attenuation slopes accurate to within 7% (polycarbonate plate) and 2% (cancellous bone phantom). The MLSP method yielded estimates of phase velocities accurate to within 1.5% (both media). The MLSP method was also tested on simulated data generated using attenuation slopes and phase velocities corresponding to bovine cancellous bone. Throughout broad ranges of signal-to-noise ratio (SNR), the MLSP method yielded estimates of attenuation slope that were accurate to within 1.0% and estimates of phase velocity that were accurate to within 4.3% (fast wave) and 1.3% (slow wave).

Indexed as

Elasticity Imaging TechniquesPhantoms, ImagingSignal Processing, Computer-AssistedAnimalsBone and BonesCattleLeast-Squares AnalysisPorosity

Identifiers

PMID20113862
PMCPMC9180631
OpenAlexW2028816366

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.