Evidence map›Paper›PMID 39629458›Full record

ArticleIEEE sensors journal2024

LUFT: A low-frequency ultrasound tomography system designed for lung imaging.

A V Pigatto, N B Rosa, S S Furuie, J L Mueller

Abstract read
In one paragraph

Article in IEEE sensors journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

A V PigattoSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523 USA.
N B RosaSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523 USA.
S S FuruieEscola Politécnica, University of São Paulo, Brazil.
J L MuellerDepartment of Mathematics and the School of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523 USA.

Funding

An integrated electrical impedance/ultrasound tomography system for pulmonary monitoring and diagnosisR21EB024683 · NIBIB · COLORADO STATE UNIVERSITY · PI MUELLER, JENNIFER LYNN · 2017 to 2019
$560k
NIBIB NIH HHS R21 EB024683
6 · The paper itself

Abstract

Pulmonary imaging with ultrasound in the conventional MHz range suffers from significant artifacts, as the high frequency acoustic waves primarily reflect off of the lung pleura with little to no penetration through the lung tissue. Furthermore, B-mode ultrasound images are difficult to interpret and require a skilled technician to obtain. Motivated by the finding that acoustic frequencies in the kHz penetrate lung tissue, a low-frequency tomographic ultrasound system is presented. A Verasonics Vantage 64 low-frequency ultrasound system is programmed to work with a novel low-frequency Tonpilz transducers set arranged in a circular array on a belt. After signal processing, a time-of-flight (TOF) tomographic reconstruction algorithm with refraction correction is applied to estimate the sound speed in the plane of the transducer array. Data were collected on experimental phantoms made of ballistic gel containing targets of varying sound speeds, and reconstructions TOF were computed. Results demonstrate that the low-frequency ultrasound tomography system effectively detects targets in an experimental phantom with the ability to resolve multiple targets and distinguish between targets of high and low sound speed compared to the background medium.

Indexed as

Low-frequency ultrasoundUltrasound computerized tomographyVerasonics system

Identifiers

PMID39629458
PMCPMC11611298

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.