Evidence map›Paper›PMID 34092904›Full record

ArticleJournal of computational and applied mathematics2021

Complementary use of priors for pulmonary imaging with electrical impedance and ultrasound computed tomography.

Melody Alsaker, Diego Armando Cardona Cárdenas, Sérgio Shiguemi Furuie, Jennifer L Mueller

Abstract read
In one paragraph

Article in Journal of computational and applied mathematics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

4 authors.

Melody AlsakerDepartment of Mathematics; Gonzaga University, Spokane, WA 99258 USA.
Diego Armando Cardona CárdenasEscola Politécnica de Universidade de São Paulo, Brazil.
Sérgio Shiguemi FuruieEscola Politécnica de Universidade de São Paulo, Brazil.
Jennifer L MuellerDepartment of Mathematics and School of Biomedical Engineering, Colorado State University, 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

For medical professionals caring for patients undergoing mechanical ventilation due to respiratory failure, the ability to quickly and safely obtain images of pulmonary function at the patient's bedside would be highly desirable. Such images could be used to provide early warnings of developing pulmonary pathologies in real time, thereby reducing the incidence of complications and improving patient outcomes. Electrical impedance tomography (EIT) and low-frequency ultrasound computed tomography (USCT) are two imaging techniques with the potential to provide real-time non-ionizing pulmonary monitoring in the ICU setting, and each method has its own unique advantages as well as drawbacks. In this work, we describe a new algorithm for a system in which the strengths of the two modalities are combined in a complementary fashion. Specifically, preliminary reconstructions from each modality are used as priors to stabilize subsequent reconstructions, providing improved spatial resolution, sharper organ boundaries, and enhanced appearance of pathologies and other features. Results are validated using three numerically simulated thoracic phantoms representing pulmonary pathologies.

Indexed as

Electrical Impedance TomographyInverse ProblemsPulmonary ImagingUltrasound Tomography

Identifiers

PMID34092904
PMCPMC8177074

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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.