Experimental Detection of Early-Stage Lung and Skin Tumors Based on Super Wideband Imaging

Alamro, Wasan
Seet, Boon-Chong
Wang, Lulu
Prabakar, Parthiban
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Journal Article
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Institute of Electrical and Electronics Engineers

In this paper, a super wideband (SWB) radio frequency imaging approach is developed and evaluated for detecting early stages of deep-seated lung and in-situ skin tumors. A life-sized human torso phantom is constructed of tissue mimicking materials and their dielectric properties are thoroughly investigated over the covered frequency range of 3.1−40 GHz. An array of custom-designed antenna elements is employed in an imaging setup to assess the detection capabilities of the SWB imaging approach for both lung and skin tumors. Images reconstructed using the acquired backscattering information and confocal beamforming algorithms demonstrate a successful detection with accurate tumor size and location estimation. Compared to present ultra-wideband (UWB) approach, the proposed SWB approach can enhance the spatial resolution of the reconstructed images by up to 84.4%. This work establishes the foundation for further exploration of SWB imaging in clinical trials, offering the potential to transform early cancer detection and treatment monitoring.

Early-stage tumor detection , deep-seated lung tumor , in-situ skin tumor , super-wideband imaging , 4003 Biomedical engineering , 4006 Communications engineering
IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, ISSN: 2469-7257 (Print); 2469-7257 (Online), Institute of Electrical and Electronics Engineers. doi: 10.1109/JERM.2024.3395923
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