Rana, Soumya Prakash ORCID: https://orcid.org/0000-0002-8014-8122, Davis, John G., Khalil, Kamal, O’Toole, Michael, Watson, Stuart, Liang, Shijie, Parry-Jones, Adrian, Daniels, David J. and Peyton, Anthony J. (2025) Microwave imaging for human brain stroke detection using frequency domain inverse modelling & phantom experiments. Scientific Reports, 15:34801. ISSN 2045-2322 (Online) (doi:10.1038/s41598-025-18729-w)

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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.

Item Type:	Article
Additional Information:	APC paid by the University of Manchester under institutional OA funding during employment there.
Uncontrolled Keywords:	microwave imaging, Inverse Synthetic Aperture Radar (ISAR), non-invasive imaging, brain imaging, stroke detection, bistatic radar; antenna design, water matching medium, biological specimens, image reconstruction, sub-centimetre resolution, laboratory testbed, Phantom experiments, electromagnetic sensing, biomedical radar
Subjects:	R Medicine > R Medicine (General) T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified:	11 Nov 2025 11:10
URI:	https://gala.gre.ac.uk/id/eprint/51557

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