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Published in: Medical & Biological Engineering & Computing 5/2018

13-10-2017 | Original Article

The effect of using a dielectric matching medium in focused microwave radiometry: an anatomically detailed head model study

Authors: Maria Koutsoupidou, Evangelos Groumpas, Irene S. Karanasiou, Maria Christopoulou, Konstantina Nikita, Nikolaos Uzunoglu

Published in: Medical & Biological Engineering & Computing | Issue 5/2018

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Abstract

Microwave radiometry is a passive technique used to measure in-depth temperature distributions inside the human body, potentially useful in clinical applications. Experimental data imply that it may provide the capability of detecting in-depth local variations of temperature and/or conductivity of excitable tissues at microwave frequencies. Specifically, microwave radiometry may allow the real-time monitoring of brain temperature and/or conductivity changes, associated with local brain activation. In this paper, recent results of our ongoing research regarding the capabilities of focused microwave radiometry for brain intracranial applications are presented. Electromagnetic and thermal simulation analysis was performed using an anatomically detailed head model and a dielectric cap as matching medium placed around it, in order to improve the sensitivity and the focusing attributes of the system. The theoretical results were compared to experimental data elicited while exploring that the sensing depth and spatial resolution of the proposed imaging method at 2.1 GHz areas located 3 cm deep inside the brain can be measured, while at 2.5 GHz, the sensing area is confined specifically to the area of interest. The results exhibit the system’s potential as a complementary brain imaging tool for multifrequency in-depth passive monitoring which could be clinically useful for therapeutic, diagnostic, and research applications.

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Metadata
Title
The effect of using a dielectric matching medium in focused microwave radiometry: an anatomically detailed head model study
Authors
Maria Koutsoupidou
Evangelos Groumpas
Irene S. Karanasiou
Maria Christopoulou
Konstantina Nikita
Nikolaos Uzunoglu
Publication date
13-10-2017
Publisher
Springer Berlin Heidelberg
Published in
Medical & Biological Engineering & Computing / Issue 5/2018
Print ISSN: 0140-0118
Electronic ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-017-1729-4

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