Evidence map›Paper›PMID 30818868›Full record

ArticleSensors (Basel, Switzerland)2019

Three-Dimensional Electromagnetic Torso Scanner.

Sasan Ahdi Rezaeieh, Ali Zamani, Konstanty S Bialkowski, Graeme A Macdonald, Amin M Abbosh

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Electromagnetic Medical Sensing.Sensors (Basel, Switzerland) · 2019
    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

5 authors at 2 institutions in 1 country.

Sasan Ahdi RezaeiehSchool of Information Technology and Electrical Engineering, The University of Queensland; St. Lucia, Brisbane, Queensland 4072, Australia. s.ahdirezaeieh@uq.edu.au.
Ali ZamaniSchool of Information Technology and Electrical Engineering, The University of Queensland; St. Lucia, Brisbane, Queensland 4072, Australia. a.zamani@uq.edu.au.
Konstanty S BialkowskiSchool of Information Technology and Electrical Engineering, The University of Queensland; St. Lucia, Brisbane, Queensland 4072, Australia. ksb@itee.uq.edu.au.ORCID 0000-0002-3461-0371
Graeme A MacdonaldPA-Southside Clinical School, The University of Queensland; St. Lucia, Brisbane, Queensland 4072, Australia. g.macdonald@uq.edu.au.
Amin M AbboshSchool of Information Technology and Electrical Engineering, The University of Queensland; St. Lucia, Brisbane, Queensland 4072, Australia. a.abbosh@uq.edu.au.
The University of Queensland · AUTranslational Research Institute · AU

Funding

Department of Science, Information Technology and Innovation, Queensland Government 2017000204Department of Science, Information Technology and Innovation, Queensland Government 2017003038University of Queensland 2017003135University of Queensland 2018002397
6 · The paper itself

Abstract

A three-dimensional (3D) electromagnetic torso scanner system is presented. This system aims at providing a complimentary/auxiliary imaging modality to supplement conventional imaging devices, e.g., ultrasound, computerized tomography (CT) and magnetic resonance imaging (MRI), for pathologies in the chest and upper abdomen such as pulmonary abscess, fatty liver disease and renal cancer. The system is comprised of an array of 14 resonance-based reflector (RBR) antennas that operate from 0.83 to 1.9 GHz and are located on a movable flange. The system is able to scan different regions of the chest and upper abdomen by mechanically moving the antenna array to different positions along the long axis of the thorax with an accuracy of about 1 mm at each step. To verify the capability of the system, a three-dimensional imaging algorithm is proposed. This algorithm utilizes a fast frequency-based microwave imaging method in conjunction with a slice interpolation technique to generate three-dimensional images. To validate the system, pulmonary abscess was simulated within an artificial torso phantom. This was achieved by injecting an arbitrary amount of fluid (e.g., 30 mL of water), into the lungs regions of the torso phantom. The system could reliably and reproducibly determine the location and volume of the embedded target.

Indexed as

electromagnetic imagingthoracic diseasesthree-dimensional torso scanning

Identifiers

PMID30818868
PMCPMC6427315
OpenAlexW2915615968

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.