Evidence map›Paper›PMID 34451077›Full record

ArticleSensors (Basel, Switzerland)2021

Calderón's Method with a Spatial Prior for 2-D EIT Imaging of Ventilation and Perfusion.

Kwancheol Shin, Jennifer L Mueller

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. [Research progress on electrical impedance tomography in pulmonary perfusion].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Review
  2. Article
  3. Article
  4. 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

2 authors at 2 institutions in 2 countries.

Kwancheol ShinDepartment of Mathematics, Chungbuk National University, Cheongju 28644, Korea.
Jennifer L MuellerDepartment of Mathematics and School of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523, USA.ORCID 0000-0002-2583-5771
Chungbuk National University · KRColorado State University · US

Funding

Real-Time Assessment of Lung Structure and Function in CF Patients using Electrical Impedance TomographyR01EB026710 · NIBIB · COLORADO STATE UNIVERSITY · PI MUELLER, JENNIFER LYNN · 2019 to 2022
$3.1M
NIBIB NIH HHS R01 EB026710NIBIB NIH HHS R01EB026710
6 · The paper itself

Abstract

Bedside imaging of ventilation and perfusion is a leading application of 2-D medical electrical impedance tomography (EIT), in which dynamic cross-sectional images of the torso are created by numerically solving the inverse problem of computing the conductivity from voltage measurements arising on electrodes due to currents applied on electrodes on the surface. Methods of reconstruction may be direct or iterative. Calderón's method is a direct reconstruction method based on complex geometrical optics solutions to Laplace's equation capable of providing real-time reconstructions in a region of interest. In this paper, the importance of accurate modeling of the electrode location on the body is demonstrated on simulated and experimental data, and a method of including a priori spatial information in dynamic human subject data is presented. The results of accurate electrode modeling and a spatial prior are shown to improve detection of inhomogeneities not included in the prior and to improve the resolution of ventilation and perfusion images in a human subject.

Indexed as

AlgorithmsTomographyElectric ImpedanceElectrodesHumansPerfusionCalderón’s methodelectrical impedance tomographyinverse problemspulmonary imaging

Identifiers

PMID34451077
PMCPMC8402350
OpenAlexW3195914826

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.