UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms

Puttock, James; Sohani, Behnaz; Khalesi, Banafsheh; Tiberi, Gianluigi; Dudley-McEvoy, Sandra; Ghavami, Mohammad

doi:10.1007/978-3-030-64991-3_4

Cited by 1 publication

(2 citation statements)

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“…The materials used to fabricate the phantom and inclusion are prepared by considering dielectric property differences and the stability of the materials. The dielectric properties of both materials at a frequency of 2 GHz are presented in Table I [18,20]. In order to validate the ability of 3D imaging algorithm we have fabricated a skull-mimicking phantom with the axis dimension of 7 cm × 10 cm × 15.5 cm, having a cylindrically shaped tube as an inclusion with radius of 0.7 cm as shown in Fig.…”

Section: B Phantom Fabricationmentioning

confidence: 99%

“…MammoWave capability in breast lesion detection has been verified clinically [15]; in addition, the device has also been adapted to perform phantom imaging for brain stroke and bone lesions detection [16,17]. All MammoWave images are evaluated in 2D and at one plane along the z-axis, after removing the artefacts [18]. In this paper, the MammoWave device (shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

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3D Huygens Principle Based Microwave Imaging Through MammoWave Device: Validation Through Phantoms

et al. 2022

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This work focuses on developing a 3D microwave imaging (MWI) algorithm based on Huygens principle (HP). Specifically, a novel, fast MWI device (MammoWave) has been presented and exploited for its capabilities of extending image reconstruction from 2D to 3D. For this purpose, dedicated phantoms containing 3D structured inclusion have been prepared with mixtures having different dielectric properties. Phantom measurements have been performed at multiple planes along the z-axis by simultaneously changing the transmitter and receiver antenna height via the graphic user interface (GUI) integrated with MammoWave. We have recorded the complex S21 multi-quote data at multiple planes along the z-axis. The complex multidimensional raw data has been processed via an enhanced HP based image algorithm for 3D image reconstruction. This paper demonstrates the successful detection and 3D visualization of the inclusion with varying dimensions at multiple planes/cross-sections along the z-axis with a dimensional error lower than 7.5%. Moreover, the paper shows successful detection and 3D visualization of the inclusion in a skull-mimicking phantom having a cylindrically shaped inclusion, with the location of the detected inclusion in agreement with the experimental setup. Additionally, the localization of a 3D structured spherical inclusion has been shown in a more complex scenario using a 3-layer cylindrically shaped phantom, along with the corresponding 3D image reconstruction and visualization.INDEX TERMS Huygens Principle (HP), MammoWave, Microwave Imaging (MWI), Ultra-wideband (UWB).

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Section: B Phantom Fabricationmentioning

confidence: 99%