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

Dolean, Victorita ORCID: https://orcid.org/0000-0002-5885-1903

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  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.
  Keywords:	biomedical imaging, brain modeling, brain stroke imaging, computational modeling, dielectric constant, domain-specific language, gradient based minimization algorithm, hemorrhagic brain stroke detection, high-speed parallel computing, inverse problems, Iterative microwave tomographic imaging, massively parallel computing, mathematical programming, medical image processing, microwave imaging, numerical modeling, open source FreeFem++ solver, optimization methods, parallel programming, regularization methods, signal reconstruction, tomography, total variation, whole-microwave measurement system, Medicine, Physics, Radiation, Instrumentation, Radiology Nuclear Medicine and imaging
  Subjects:	Medicine Science > Physics
  Department:	Faculty of Science > Mathematics and Statistics
  Depositing user:	Pure Administrator
  Date deposited:	01 Jul 2021 12:48
  Last modified:	25 May 2023 10:58
  Related URLs:	Scopus publication
  URI:	https://strathprints.strath.ac.uk/id/eprint/76946