Abstract
Microwave Imaging (MI) for breast cancer detection is a safe diagnostic method that can be used repeatedly in screening campaigns because it does not use ionizing radiations. So far it has been proven in labs and clinics with the aid of costly and bulky instrumentation tools such as a vector network analyzer. In this paper we show that it is possible to build a low-cost system using off-the-shelf components, custom-made antennas, and a Zynq programmable SoC for accelerating the image reconstruction algorithm. We prove the detection capability of our MI system with two 2D tumor phantoms with different dielectric properties. In terms of execution speed of the imaging algorithm, we obtain a speed-up of more than 30× with respect to an execution on a high-end desktop processor.
Work partly supported by the Italian MIUR under FIRB project MICENEA (Microwave Imaging for Combined Early Diagnostics of Breast Cancer).
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Pulimeno, A. et al. (2017). Microwave Imaging for Breast Cancer Detection: A COTS-Based Prototype. In: De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2016. Lecture Notes in Electrical Engineering, vol 409. Springer, Cham. https://doi.org/10.1007/978-3-319-47913-2_4
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DOI: https://doi.org/10.1007/978-3-319-47913-2_4
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