Evidence map›Paper›PMID 36146432›Full record

ArticleSensors (Basel, Switzerland)2022

Generation of Prior Information in a Dual-Mode Microwave-Ultrasound Breast Imaging System.

Hannah Fogel, Max Hughson, Mohammad Asefi, Ian Jeffrey, Joe LoVetri

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Hannah FogelDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.ORCID 0000-0003-0430-8988
Max HughsonAntec Controls, Winnipeg, MB R2K 3Z9, Canada.
Mohammad AsefiAGCO Winnipeg, Winnipeg, MB R3T 2T8, Canada.
Ian JeffreyDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.ORCID 0000-0003-1312-3248
Joe LoVetriDepartment of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.ORCID 0000-0001-9882-0004

Funding

Natural Sciences and Engineering Research Council Discovery Grant
6 · The paper itself

Abstract

A new breast imaging system capable of obtaining ultrasound and microwave scattered-field measurements with minimal or no movement of the breast between measurements has recently been reported. In this work, we describe the methodology that has been developed to generate prior information about the internal structures of the breast based on ultrasound data measured with the dual-mode system. This prior information, estimating both the geometry and complex-valued permittivity of tissues within the breast, is incorporated into the microwave inversion algorithm as a means of enhancing image quality. Several techniques to map reconstructed ultrasound speed to complex-valued relative permittivity are investigated. Quantitative images of two simplified dual-mode breast phantoms obtained using experimental data and the various forms of prior information are presented. Though preliminary, the results presented herein provide an understanding of the impacts of different forms of prior information on dual-mode reconstructions of the breast and can be used to inform future work on the subject.

Indexed as

BreastMicrowavesAlgorithmsPhantoms, ImagingUltrasonographybreast cancerbreast imagingmedical imagingmicrowave imagingmulti-modalultrasound imaging

Identifiers

PMID36146432
PMCPMC9502705

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.