Evidence map›Paper›PMID 38557738›Full record

ArticleThe Journal of the Acoustical Society of America2024

Shear wave speeds in a nearly incompressible fibrous material with two unequal fiber families.

Shuaihu Wang, Ruth J Okamoto, Matthew D J McGarry, Philip V Bayly

Open access · greenAbstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Shuaihu WangDepartment of Mechanical Engineering and Materials Science, Washington University, St. Louis, Missouri 63130, USA.
Ruth J OkamotoDepartment of Mechanical Engineering and Materials Science, Washington University, St. Louis, Missouri 63130, USA.
Matthew D J McGarryThayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755, USA.
Philip V BaylyDepartment of Mechanical Engineering and Materials Science, Washington University, St. Louis, Missouri 63130, USA.
Washington University in St. Louis · USDartmouth College · US

Funding

High-Resolution, Anisotropic MR Elastography of the BrainR01EB027577 · NIBIB · UNIVERSITY OF DELAWARE · PI BAYLY, PHILIP V, JOHNSON, CURTIS L · 2019 to 2022
$2.7M
NIBIB NIH HHS R01 EB027577
6 · The paper itself

Abstract

The mechanical properties of soft biological tissues can be characterized non-invasively by magnetic resonance elastography (MRE). In MRE, shear wave fields are induced by vibration, imaged by magnetic resonance imaging, and inverted to estimate tissue properties in terms of the parameters of an underlying material model. Most MRE studies assume an isotropic material model; however, biological tissue is often anisotropic with a fibrous structure, and some tissues contain two or more families of fibers-each with different orientations and properties. Motivated by the prospect of using MRE to characterize such tissues, this paper describes the propagation of shear waves in soft fibrous material with two unequal fiber families. Shear wave speeds are expressed in terms of material parameters, and the effect of each parameter on the shear wave speeds is investigated. Analytical expressions of wave speeds are confirmed by finite element simulations of shear wave transmission with various polarization directions. This study supports the feasibility of estimating parameters of soft fibrous tissues with two unequal fiber families in vivo from local shear wave speeds and advances the prospects for the mechanical characterization of such biological tissues by MRE.

Identifiers

PMID38557738
PMCPMC10987194
OpenAlexW4393387411

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.