Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection
Conference paper
Ghavami, N, Tiberi, G, Ghavami, M, Dudley, S and Lane, ME (2016). Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection. 10th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. Prague, Czech Republic 20 - 22 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE).
Authors | Ghavami, N, Tiberi, G, Ghavami, M, Dudley, S and Lane, ME |
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Type | Conference paper |
Abstract | In recent years, Ultra Wideband (UWB) technology has emerged as a promising alternative for use in a wide range of applications. One of the potential applications of UWB is in healthcare and imaging, motivated by its non-ionizing signals, low cost, low complexity, and its ability to penetrate through mediums. Moreover, the large bandwidth covered by UWB signals permits the very high resolution required in imaging experiments. In this paper, a recently introduced UWB microwave imaging technique based on the Huygens principle (HP), has been applied to multilayered skin model with an inclusion representing a tumor. The methodology of HP permits the capture of contrast such that different material properties within the region of interest can be discriminated in the final image, and its simplicity removes the need to solve inverse problems when forward propagating the waves. Therefore the procedure can identify and localize significant scatterers inside a multilayered volume. Validation of the technique through simulations on multilayered cylindrical model of the skin with inclusion representing the tumor has been performed. |
Keywords | Ultra Wideband; Skin Cancer; Biomedical imaging |
Year | 2016 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Accepted author manuscript | License File Access Level Open |
Publication dates | |
20 Jul 2016 | |
Publication process dates | |
Deposited | 10 Aug 2016 |
Accepted | 20 Jul 2016 |
https://openresearch.lsbu.ac.uk/item/87320
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