Detection of brain strokes using microwave tomography

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Coli, Vanna Lisa and Tournier, Pierre-Henri and Dolean, Victorita and El Kanfoud, Ibtissam and Pichot, Christian and Migliaccio, Claire and Blanc-Féraud, Laure; (2019) Detection of brain strokes using microwave tomography. In: 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting - Proceedings. IEEE, USA, pp. 223-224. ISBN 9781538671023 (https://doi.org/10.1109/APUSNCURSINRSM.2018.860940...)

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Abstract

Brain stroke is a major cause of disability and death worldwide. There are two types of stroke, ischemic or cerebral infarction (85% of cases) and hemorrhagic (15%). The diagnosis must be made quickly (within 3 to 4 hours after the onset of symptoms) to determine the nature of the stroke and proceed to treatment. Recent works have shown the modification of the complex permittivity according to the nature of stroke [1] in the microwave domain. We are interested here in the detection of brain strokes using microwave tomography. We present results obtained by electromagnetic simulations coupled to a realistic noise model of measurements. The forward problem is based on a massively parallel computing using domain decomposition method, and an inverse problem based on L-BFGS algorithm with a regularization based on total variation (TV).

ORCID iDs

Coli, Vanna Lisa, Tournier, Pierre-Henri, Dolean, Victorita ORCID logoORCID: https://orcid.org/0000-0002-5885-1903, El Kanfoud, Ibtissam, Pichot, Christian, Migliaccio, Claire and Blanc-Féraud, Laure;
  • Item type:Book Section
    ID code:69152
    Dates:
    Date
    Event
    14 January 2019
    Published
    2 March 2018
    Accepted
    Notes:© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Science > Mathematics > Electronic computers. Computer science
    Department:Strategic Research Themes > Ocean, Air and Space
    Faculty of Science > Mathematics and Statistics
    Depositing user: Pure Administrator
    Date deposited:31 Jul 2019 11:12
    Last modified:12 Dec 2024 01:21
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/69152
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