Huygens Principle based Microwave Imaging for Lung Lesion Detection using Realistic Phantom
Conference paper
Khalid, B., Khalesi, B., Ghavami, N., Brown, R., Dudley-Mcevoy, S., Ghavami, M. and Tiberi, G. (2024). Huygens Principle based Microwave Imaging for Lung Lesion Detection using Realistic Phantom. ISMICT 2024. London, UK 15 - 17 May 2024 Institute of Electrical and Electronics Engineers (IEEE).
Authors | Khalid, B., Khalesi, B., Ghavami, N., Brown, R., Dudley-Mcevoy, S., Ghavami, M. and Tiberi, G. |
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Type | Conference paper |
Abstract | This study investigates the validation of Huygens Principle (HP)-based microwave imaging (MWI) technology’s efficacy in detecting lung lesions. Employing a multi-layered, realistic phantom, we have investigated the feasibility of this novel approach. Our research encompasses the fabrication of a realistic chest phantom with dimensions and dielectric properties that mimic those of an average human lung. A cylindrically shaped inclusion, designed to replicate the dielectric attributes of lung lesions, further enriches the setup. Measurements are conducted within an anechoic chamber, spanning frequencies from 0.5 GHz to 3 GHz. The results are compelling: the inclusion is successfully detected in reconstructed images, achieving a signal-to-clutter ratio (SCR) of 9.9 dB pre-image adjustment, which notably improves to 13.4 dB post-image adjustment along with artefact removal. Additionally, image masking has been employed to highlight the boundary of the phantom and the detected inclusion. This paper highlights a successful approach for lung lesion detection using HP-based MWI, yielding a detection accuracy with less than 6% error in dimensional analysis. The findings underscore the promise of this innovative method in advancing medical imaging capabilities. |
Keywords | Huygens principle; Microwave imaging; Ultra wide-band (UWB); Signal to clutter ratio |
Year | 2024 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Web address (URL) | https://www.ismict-2024.com/ |
Accepted author manuscript | License File Access Level Open |
Publication dates | |
15 May 2024 | |
Publication process dates | |
Accepted | 15 Apr 2024 |
Deposited | 10 Jul 2024 |
https://openresearch.lsbu.ac.uk/item/979y4
Restricted files
Accepted author manuscript
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