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Nonactive antenna compensation for fixed-array microwave imaging. II. Imaging results

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TLDR
Quantitative measures of recovered inclusion shape and position reveal a systematic improvement in image reconstruction quality when the nonactive antenna-compensation model is employed, and improvements in electrical property value recovery of localized heterogeneities are also observed.
Abstract
For pt. I see ibid., vol. 18, no. 6, p. 496 (1999). Model-based imaging techniques utilizing microwave signal illumination rely heavily on the ability to accurately represent the wave propagation with a suitable numerical model. To date, the highest quality images from the authors' prototype system have been achieved utilizing a single transmitter/single receiver measurement system where both antennas are manually repositioned to facilitate multiple illuminations of the imaging region, thus requiring long data acquisition times. In an effort to develop a system that can acquire data in a real time manner, a 32-channel network has been fabricated with all ports capable of being electronically selected for either transmit or receive mode. The presence of a complete array of antenna elements at data collection time perturbs the field distributions being measured, which can subsequently degrade the image reconstruction due to increased data-model mismatch. Incorporating the nonactive antenna-compensation model from Part I of this paper into the authors' hybrid element near field image reconstruction algorithm is shown to restore image quality when fixed antenna-array data acquisition is used. Improvements are most dramatic for inclusions located in near proximity to the antenna array itself, although cases of improvement in the recovery of centered heterogeneities are also illustrated. Increases in the frequency of illumination are found to warrant an increased need for nonactive antenna compensation. Quantitative measures of recovered inclusion shape and position reveal a systematic improvement in image reconstruction quality when the nonactive antenna-compensation model is employed. Improvements in electrical property value recovery of localized heterogeneities are also observed. Image reconstructions in freshly excised breast tissue illustrate the applicability of the approach when used with the authors' two-dimensional microwave imaging system.

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Citations
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Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions

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A clinical prototype for active microwave imaging of the breast

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Time-domain reconstruction for thermoacoustic tomography in a spherical geometry

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References
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Book

Approximate boundary conditions in electromagnetics

TL;DR: In this article, the authors describe a variety of methods for the approximate simulation of material surfaces, and provide the first comprehensive treatment of boundary conditions in electromagnetics, including impedance, resistive sheet, conductive sheet and generalised (or higher order) and absorbing (or non-reflecting) boundary conditions.
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Journal ArticleDOI

Microwave imaging-complex permittivity reconstruction with a Levenberg-Marquardt method

TL;DR: An iterative reconstruction algorithm based on the Levenberg-Marquardt method is tested with synthetic data and two methods for choosing the regularization parameter, an empirical method and generalized cross validation method, are examined.
Journal ArticleDOI

Microwave imaging for tissue assessment: initial evaluation in multitarget tissue-equivalent phantoms

TL;DR: The quantitative evaluation of imaging performance has revealed potential advantages in a two-tiered receiver antenna configuration whose measured field values are more sensitive to target region changes than the typical tomographic type of approach which uses reception sites around the full target region perimeter.
Journal ArticleDOI

Near-field microwave imaging of biologically-based materials using a monopole transceiver system

TL;DR: In this paper, a prototype monopole-transceiver microwave imaging system has been implemented, and initial single and multitarget imaging experiments involving biologically relevant property distributions have been conducted to evaluate its performance relative to a previously developed waveguide system.
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