UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms
Conference paper
Puttock, J, Sohani, B, Khalesi, B, Tiberi, G, Dudley-McEvoy, S and Ghavami, M (2020). UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms. EAI BODYNETS 2020. Online 21 - 22 Oct 2020
Authors | Puttock, J, Sohani, B, Khalesi, B, Tiberi, G, Dudley-McEvoy, S and Ghavami, M |
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Type | Conference paper |
Abstract | An investigation is presented on Artefact Removal Methods for Ultra-Wideband (UWB) Microwave Imaging. Simulations have been done representing UWB signals transmitted onto a cylindrical head-mimicking phantom containing an inclusion having dielectric properties imitating an haemorrhagic stroke. The ideal image is constructed by applying a Huygens’ Principle based imaging algorithm to the difference between the electric field outside the cylinder with an inclusion and the electric field outside the same cylinder with no inclusion. Eight different artefact removal methods are then applied, with the inclusion positioned at 𝜋 and −𝜋/4 radians, respectively. The ideal image is then used as a reference image to compare the artefact removal methods employing a novel Image Quality Index, calculated using a weighted combination of image quality metrics. The Summed Symmetric Differential method performed very well in our simulations. |
Keywords | UWB Microwave Imaging; Image Quality Metric; Artefact Removal |
Year | 2020 |
Accepted author manuscript | License File Access Level Open |
Publication dates | |
21 Oct 2020 | |
Publication process dates | |
Accepted | 16 Sep 2020 |
Deposited | 24 Sep 2020 |
https://openresearch.lsbu.ac.uk/item/8qqq7
Download files
Accepted author manuscript
CameraReady_UWBMicrowaveImaging.pdf | ||
License: CC BY 4.0 | ||
File access level: Open |
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