Evidence map›Paper›PMID 41053132›Full record

ArticleScientific reports2025

Microwave imaging for human brain stroke detection using frequency domain inverse modelling & phantom experiments.

Soumya Prakash Rana, John G Davis, Kamal Khalil, Michael O'Toole, Stuart Watson, Shijie Liang, Adrian Parry-Jones, David J Daniels, Anthony J Peyton

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. 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

9 authors.

Soumya Prakash Rana *Electromagnetic Sensing Group, Department of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom. soumyaprakash.rana@gmail.com.
John G DavisElectromagnetic Sensing Group, Department of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.
Kamal KhalilElectromagnetic Sensing Group, Department of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.
Michael O'TooleElectromagnetic Sensing Group, Department of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.
Stuart WatsonMedical Physics Department, Clinical Engineering, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom.
Shijie LiangMedical Physics Department, Clinical Engineering, Northern Care Alliance NHS Foundation Trust, Manchester, United Kingdom.
Adrian Parry-JonesGeoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, United Kingdom.
David J DanielsElectromagnetic Sensing Group, Department of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.
Anthony J Peyton *Electromagnetic Sensing Group, Department of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.

Funding

Engineering and Physical Sciences Research Council EP/S006869/1
6 · The paper itself

Abstract

This paper reports a study exploring microwave Inverse Synthetic Aperture Radar (ISAR) imaging of biological specimens, with the longer-term goal of assessing its applicability for non-invasive and non-destructive imaging of the human brain in the context of stroke detection and monitoring. The paper describes the design and fabrication of a laboratory testbed developed to examine the feasibility of the ISAR approach. The system includes a custom antenna designed to reduce self-generated clutter and support the imaging process. Water was used as a matching medium due to its specific permittivity-frequency relationship, providing controlled conditions for experimental evaluation. The forward and inverse models were initially tested in simulated environments, and subsequently evaluated using physical measurements on real biological specimens in a bistatic radar configuration, to assess their ability to localize internal anomalies with sub-centimetre resolution across a 26 cm circular imaging area. The reconstructed images from vegetable phantoms such as potatoes and turnips suggest the technique may be capable of detecting internal structural variations. These preliminary findings serve as a foundation for future investigations into human brain imaging applications.

Indexed as

BrainMicrowave ImagingPhantoms, ImagingStrokeHumansImage Processing, Computer-AssistedMicrowaves

Identifiers

PMID41053132
PMCPMC12501305

What OpenQuestion holds

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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.