Design and Experimental Assessment of a 2D Microwave Imaging System for Brain Stroke Monitoring

Author:

Tobon Vasquez Jorge A.1,Scapaticci Rosa2ORCID,Turvani Giovanna1,Bellizzi Gennaro3,Joachimowicz Nadine4,Duchêne Bernard5,Tedeschi Enrico6,Casu Mario R.1ORCID,Crocco Lorenzo2ORCID,Vipiana Francesca1ORCID

Affiliation:

1. Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy

2. Institute for the Electromagnetic Sensing of the Environment, National Research Council of Italy, 80124 Naples, Italy

3. Department of Electric Engineering and Information Technologies, University of Naples Federico II, 80125 Naples, Italy

4. Group of Electrical Engineering-Paris (GeePs: CNRS-CentraleSupélec, Univ Paris-Sud, Université Paris-Saclay, Sorbonne Université), 91190 Gif-sur-Yvette, France

5. Laboratoire des Signaux et Systèmes (L2S: CNRS-CentraleSupélec-Univ Paris-Sud), 91190 Gif-sur-Yvette, France

6. Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Napoli, Italy

Abstract

The aim of this paper is to present and experimentally verify the first prototype of a microwave imaging system specifically designed and realized for the continuous monitoring of patients affected by brain stroke, immediately after its onset and diagnosis. The device is a 2D version of the 3D system, currently under construction, and consists of an array of 12 printed monopole antennas connected to a two-port vector network analyzer through a switching matrix so that each antenna can act as a transmitter or receiver, thereby allowing the acquisition of the entire multistatic multiview scattering matrix required for the imaging. The system has been experimentally tested on 2D phantoms with electric properties mimicking the brain. The presence and the evolution of the stroke have been reproduced by filling a proper cavity in the phantom with a liquid having the electric properties of blood. A differential approach has been adopted by acquiring the scattering matrix before and after the filling of the blood cavity. The so achieved differential dataset has been processed by means of a linear imaging algorithm in order to reconstruct the stroke location and dimension. Moreover, the effect of pre- and postprocessing operations on the measured data is investigated. A good agreement has been obtained between the reconstructions and the actual scenario. As a final remark, it is worth noting that the entire data acquisition and processing are sufficiently fast to allow a real-time monitoring.

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering

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