Detection of simulated brain strokes using microwave tomography

Coli, Vanna Lisa and Tournier, Pierre Henri and Dolean, Victorita and Kanfoud, Ibtissam El and Pichot, Christian and Migliaccio, Claire and Blanc-Feraud, Laure (2019) Detection of simulated brain strokes using microwave tomography. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 3 (4). pp. 254-260. 8731640. ISSN 2469-7249 (https://doi.org/10.1109/JERM.2019.2921076)

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Abstract

Brain strokes are one of the leading causes of disability and mortality in adults in developed countries. Ischemic stroke (85% of total cases) and hemorrhagic stroke (15%) must be treated with opposing therapies, and thus, the nature of the stroke must be determined quickly in order to apply the appropriate treatment. Recent studies in biomedical imaging have shown that strokes produce variations in the complex electric permittivity of brain tissues, which can be detected by means of microwave tomography. Here, we present some synthetic results obtained with an experimental microwave tomography-based portable system for the early detection and monitoring of brain strokes. The determination of electric permittivity first requires the solution of a coupled forward-inverse problem. We make use of massive parallel computation from domain decomposition method and regularization techniques for optimization methods. Synthetic data are obtained with electromagnetic simulations corrupted by noise, which have been derived from measurements errors of the experimental imaging system. Results demonstrate the possibility to detect hemorrhagic strokes with microwave systems when applying the proposed reconstruction algorithm with edge preserving regularization.

ORCID iDs

Coli, Vanna Lisa, Tournier, Pierre Henri, Dolean, Victorita ORCID logoORCID: https://orcid.org/0000-0002-5885-1903, Kanfoud, Ibtissam El, Pichot, Christian, Migliaccio, Claire and Blanc-Feraud, Laure;
  • Item type:Article
    ID code:76946
    Dates:
    Date
    Event
    21 November 2019
    Published
    5 June 2019
    Published Online
    30 May 2019
    Accepted
    Notes:Funding Information: This paper was presented in part at the 2018 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Boston, MA, USA. Publisher Copyright: © 2016 IEEE.
    Subjects:Medicine
    Science > Physics
    Department:Faculty of Science > Mathematics and Statistics
    Depositing user: Pure Administrator
    Date deposited:01 Jul 2021 12:48
    Last modified:16 Nov 2024 01:19
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/76946
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