A Microwave Imaging Procedure for Lung Lesion Detection: Preliminary Results on Multilayer Phantoms
Journal article
Khalid, B., Khalesi, B., Ghavami, M., Ghavami, N. and Tiberi, G. (2022). A Microwave Imaging Procedure for Lung Lesion Detection: Preliminary Results on Multilayer Phantoms. Electronics (Switzerland). 11 (13), p. 2105. https://doi.org/10.3390/electronics11132105
Authors | Khalid, B., Khalesi, B., Ghavami, M., Ghavami, N. and Tiberi, G. |
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Abstract | In this work, a feasibility study for lung lesion detection through microwave imaging based on Huygens’ principle (HP) has been performed using multilayer oval shaped phantoms mimicking human torso having a cylindrically shaped inclusion simulating lung lesion. First, validation of the proposed imaging method has been performed through phantom experiments using a dedicated realistic human torso model inside an anechoic chamber, employing a frequency range of 1–5 GHz. Subsequently, the miniaturized torso phantom validation (using both single and double inclusion scenarios) has been accomplished using a microwave imaging (MWI) device, which operates in free space using two antennas in multi-bistatic configuration. The identification of the target’s presence in the lung layer has been achieved on the obtained images after applying both of the following artifact removal procedures: (i) the “rotation subtraction” method using two adjacent transmitting antenna positions, and (ii) the “ideal” artifact removal procedure utilizing the difference between received signals from unhealthy and healthy scenarios. In addition, a quantitative analysis of the obtained images was executed based on the definition of signal to clutter ratio (SCR). The obtained results verify that HP can be utilized successfully to discover the presence and location of the inclusion in the lung-mimicking phantom, achieving an SCR of 9.88 dB. |
Keywords | microwave imaging; lung lesion; lung imaging; Huygens’ principle |
Year | 2022 |
Journal | Electronics (Switzerland) |
Journal citation | 11 (13), p. 2105 |
Publisher | MDPI |
ISSN | 2079-9292 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/electronics11132105 |
Web address (URL) | https://www.mdpi.com/2079-9292/11/13/2105/htm |
Publication dates | |
05 Jul 2022 | |
Publication process dates | |
Accepted | 01 Jul 2022 |
Deposited | 20 Sep 2022 |
Publisher's version | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/91y88
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