4.6 Article

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

期刊

IEEE ACCESS
卷 10, 期 -, 页码 106770-106780

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3211957

关键词

Imaging; Three-dimensional displays; Phantoms; Microwave imaging; Lesions; Antenna measurements; Imaging phantoms; Ultra wideband technology; Huygens principle (HP); MammoWave; microwave imaging (MWI); ultra- wideband (UWB)

资金

  1. European Union's Horizon 2020 Research and Innovation Program [830265, 872752]
  2. European Union [101017098]

向作者/读者索取更多资源

This work focuses on developing a 3D microwave imaging algorithm based on Huygens principle. A novel MWI device and dedicated phantoms were used to extend image reconstruction from 2D to 3D, resulting in successful detection and visualization in different scenarios.
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.

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