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Electromagnetic Time-Reversal Technique for Monitoring Skull Healing Stages
Univ Tehran, Sch Elect & Comp Engn, Tehran, Iran.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.ORCID iD: 0000-0003-4821-8087
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Electronics.ORCID iD: 0000-0002-2876-223X
2019 (English)In: 2019 13th European Conference On Antennas And Propagation (EuCAP), IEEE , 2019Conference paper, Published paper (Refereed)
Abstract [en]

This paper provides a novel non-resonant spectroscopy technique for monitoring of the healing process in skull defects created in cranial surgery. Currently, there is not such a method and information on the healing process which is vital to avoid further complications and for a better understanding of the process. During the healing, which can take several months, the thickness and the permittivity of the skull varies. The proposed approach makes use of the approximated Dyadic Green's function integral equation for deriving the variations in permittivity of the skull. The scattered electric field from the defect is collected using Time-Reversal Array (TRA) in order to produce the Multi-StaticData Matrix (MDM). The singular value decomposition on the MDM matrix based on time reversal operator (TRO) decomposition (known under French acronym DORT), provides information of the permittivity of the defect. The problem of the sensing the defect response after the cranial surgery is formulated for multi-layer medium and it will be shown that the dominant singular values are corresponding to the permittivity of the defect. Finally, the veracity of the theory is clarified by conducting a numerical simulation for a planar multi-layer medium consisting of skin, skull brain and a defect embedded in the skull. We show that the dominant singular values corresponding to the defect permittivity vary significantly which conclude that the dominant singular value can be a good criterion for monitoring the skull healing stages.

Place, publisher, year, edition, pages
IEEE , 2019.
Series
Proceedings of the European Conference on Antennas and Propagation, ISSN 2164-3342
Keywords [en]
Time-Reversal, Singular Value Decomposition, Dyadic Green's Function, Bone Mineral Density, Spectroscopy
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-393691ISI: 000480384703096ISBN: 978-8-8907-0188-7 (electronic)OAI: oai:DiVA.org:uu-393691DiVA, id: diva2:1354554
Conference
13th European Conference on Antennas and Propagation (EuCAP), MAR 31-APR 05, 2019, Krakow, POLAND
Funder
Swedish Research Council, 2017-04644EU, Horizon 2020, 824984Swedish Foundation for Strategic Research , RIT170020Vinnova, 2015-04159Available from: 2019-09-25 Created: 2019-09-25 Last updated: 2019-09-25Bibliographically approved

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Perez, Mauricio D.Augustine, Robin

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