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Implementation and Testing of a Wearable Microwave Antenna System for Brain Imaging

Santiago De Luque Arias

Implementation and Testing of a Wearable Microwave Antenna System for Brain Imaging.

Rel. Francesca Vipiana, Jorge Alberto Tobon Vasquez, David Orlando Rodriguez Duarte. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2021

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Abstract:

This thesis presents the implementation, validation, and extensive experimental testing of a custom-dielectric monopole printed antenna system for microwave brain stroke imaging applications. The antenna consists of two stacked flexible thin bricks, one acting as a matching medium with the head and the other as the substrate layer between the antenna itself and a ground plane. The antennas are designed as wideband antennas, with a 400 MHz bandwidth at -10 dB and a central frequency of 1 GHz. They are tested by performing a singular antenna check to validate their reflection coefficients and a two antenna check to validate their TX and RX coefficients. Both tests are done with a jar containing a liquid mimicking the brain tissues, as to test the antennas in realistic conditions. These tests yielded favorable results in terms of S-parameters and antenna characteristics repeatability, validating the custom-dielectric flexible design. To test the 24 antennas needed for the complete system, a 3D Head phantom with the desired antenna positions is designed. Finally, the experimental setup of the system is a realistic human head phantom, filled with a liquid mimicking the brain tissues, and equipped with the 24 antennas. Its measurement process consisted of acquiring the phantom's scattering matrix before and after introducing a target that assimilates a stroke in different positions of the head and observing if variations of the S-parameters are noticeable. Preliminary tests revealed that the differential scattering matrices between cases allow detecting a target, and are in range for imaging algorithms, as well as probable employment in other brain-related applications.

Relatori: Francesca Vipiana, Jorge Alberto Tobon Vasquez, David Orlando Rodriguez Duarte
Anno accademico: 2021/22
Tipo di pubblicazione: Elettronica
Numero di pagine: 111
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-29 - INGEGNERIA ELETTRONICA
Aziende collaboratrici: Politecnico di Torino
URI: http://webthesis.biblio.polito.it/id/eprint/20452
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