Evidence map›Paper›PMID 28266925›Full record

ArticlePhysics in medicine and biology2017

An iterative fullwave simulation approach to multiple scattering in media with randomly distributed microbubbles.

Aditya Joshi, Brooks D Lindsey, Paul A Dayton, Gianmarco Pinton, Marie Muller

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Aditya JoshiDepartment of Mechanical and Aerospace Engineering, NC State University, Raleigh, NC, United States of America.
Brooks D LindseyUNC-NCSU Joint Department of Biomedical Engineering, UNC Chapel Hill, Chapel Hill, NC, United States of America.
Paul A DaytonUNC-NCSU Joint Department of Biomedical Engineering, UNC Chapel Hill, Chapel Hill, NC, United States of America.
Gianmarco PintonUNC-NCSU Joint Department of Biomedical Engineering, UNC Chapel Hill, Chapel Hill, NC, United States of America.
Marie MullerDepartment of Mechanical and Aerospace Engineering, NC State University, Raleigh, NC, United States of America.

Funding

Micro-tumor detection by quantifying tumor-induced vascular abnormalities (PQ-13)R01CA170665 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAYTON, PAUL A · 2012 to 2015
$2.2M
Quantitative Ultrasound Analysis of Vascular Morphology for Cancer AssessmentR44CA165621 · NCI · KITWARE, INC. · PI AYLWARD, STEPHEN R, DAYTON, PAUL A · 2015 to 2016
$1.3M
Ultrasonic characterization of atherosclerotic plaque using multiple scatteringR03EB022311 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MULLER, MARIE · 2016 to 2017
$140k
Contrast-enhanced intravascular ultrasound imaging of vascular invasionF32EB018715 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LINDSEY, BROOKS D · 2015 to 2016
$114k
NCI NIH HHS R01 CA170665NCI NIH HHS R44 CA165621NIBIB NIH HHS F32 EB018715NIBIB NIH HHS R03 EB022311
6 · The paper itself

Abstract

Ultrasound contrast agents (UCA), such as microbubbles, enhance the scattering properties of blood, which is otherwise hypoechoic. The multiple scattering interactions of the acoustic field with UCA are poorly understood due to the complexity of the multiple scattering theories and the nonlinear microbubble response. The majority of bubble models describe the behavior of UCA as single, isolated microbubbles suspended in infinite medium. Multiple scattering models such as the independent scattering approximation can approximate phase velocity and attenuation for low scatterer volume fractions. However, all current models and simulation approaches only describe multiple scattering and nonlinear bubble dynamics separately. Here we present an approach that combines two existing models: (1) a full-wave model that describes nonlinear propagation and scattering interactions in a heterogeneous attenuating medium and (2) a Paul-Sarkar model that describes the nonlinear interactions between an acoustic field and microbubbles. These two models were solved numerically and combined with an iterative approach. The convergence of this combined model was explored in silico for 0.5 × 10

Indexed as

Contrast MediaMicrobubblesNonlinear DynamicsUltrasonic WavesComputer SimulationContrast Media

Identifiers

PMID28266925
PMCPMC5555237

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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.