Evidence map›Paper›PMID 33802316›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Metasurface-Enhanced Antennas for Microwave Brain Imaging.

Eleonora Razzicchia, Pan Lu, Wei Guo, Olympia Karadima, Ioannis Sotiriou, Navid Ghavami, Efthymios Kallos, George Palikaras, Panagiotis Kosmas

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 26 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Eleonora RazzicchiaFaculty of Natural and Mathematical Sciences, King's College London, Strand, London WC2R 2LS, UK.ORCID 0000-0001-7703-3909
Pan LuFaculty of Natural and Mathematical Sciences, King's College London, Strand, London WC2R 2LS, UK.ORCID 0000-0002-9128-4728
Wei GuoFaculty of Natural and Mathematical Sciences, King's College London, Strand, London WC2R 2LS, UK.
Olympia KaradimaFaculty of Natural and Mathematical Sciences, King's College London, Strand, London WC2R 2LS, UK.ORCID 0000-0002-2756-8515
Ioannis SotiriouFaculty of Natural and Mathematical Sciences, King's College London, Strand, London WC2R 2LS, UK.ORCID 0000-0002-0924-9078
Navid GhavamiFaculty of Natural and Mathematical Sciences, King's College London, Strand, London WC2R 2LS, UK.ORCID 0000-0002-5102-0760
Efthymios KallosMetamaterial Inc., Dartmouth, NS B2Y 4M9, Canada.
George PalikarasMetamaterial Inc., Dartmouth, NS B2Y 4M9, Canada.
Panagiotis KosmasFaculty of Natural and Mathematical Sciences, King's College London, Strand, London WC2R 2LS, UK.ORCID 0000-0001-9759-2820
King's College London · GBMetamaterial Technologies (Canada) · CA

Funding

Engineering and Physical Sciences Research Council EP/R013918/1Horizon 2020 764479Innovate UK 103920
6 · The paper itself

Abstract

Stroke is a very frequent disorder and one of the major leading causes of death and disability worldwide. Timely detection of stroke is essential in order to select and perform the correct treatment strategy. Thus, the use of an efficient imaging method for an early diagnosis of this syndrome could result in an increased survival's rate. Nowadays, microwave imaging (MWI) for brain stroke detection and classification has attracted growing interest due to its non-invasive and non-ionising properties. In this paper, we present a feasibility study with the goal of enhancing MWI for stroke detection using metasurface (MTS) loaded antennas. In particular, three MTS-enhanced antennas integrated in different brain scanners are presented. For the first two antennas, which operate in a coupling medium, we show experimental measurements on an elliptical brain-mimicking gel phantom including cylindrical targets representing the bleeding in haemorrhagic stroke (h-stroke) and the not oxygenated tissue in ischaemic stroke (i-stroke). The reconstructed images and transmission and reflection parameter plots show that the MTS loadings improve the performance of our imaging prototype. Specifically, the signal transmitted across our head model is indeed increased by several dB's over the desired frequency range of 0.5-2.0 GHz, and an improvement in the quality of the reconstructed images is shown when the MTS is incorporated in the system. We also present a detailed simulation study on the performance of a new printed square monopole antenna (PSMA) operating in air, enhanced by a MTS superstrate loading. In particular, our previous developed brain scanner operating in an infinite lossy matching medium is compared to two tomographic systems operating in air: an 8-PSMA system and an 8-MTS-enhanced PSMA system. Our results show that our MTS superstrate enhances the antennas' return loss by around 5 dB and increases the signal difference due to the presence of a blood-mimicking target up to 25 dB, which leads to more accurate reconstructions. In conclusion, MTS structures may be a significant hardware advancement towards the development of functional and ergonomic MWI scanners for stroke detection.

Indexed as

brain imagingenhanced-antennametasurface (MTS)microwave imaging (MWI)microwave tomography (MWT)

Identifiers

PMID33802316
PMCPMC8000944
OpenAlexW3134135538

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.