Alamro, WasanSeet, Boon-ChongWang, LuluPrabakar, Parthiban2024-06-102024-06-102024-05-07IEEE 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.2024.33959232469-72572469-7257http://hdl.handle.net/10292/17639In 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.Copyright © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Early-stage tumor detectiondeep-seated lung tumorin-situ skin tumorsuper-wideband imaging4003 Biomedical engineering4006 Communications engineeringJournal ArticleOpenAccess10.1109/JERM.2024.3395923