Detection of simulated brain strokes using microwave tomography

Vanna Lisa Coli, Pierre Henri Tournier, Victorita Dolean, Ibtissam El Kanfoud, Christian Pichot, Claire Migliaccio, Laure Blanc-Feraud

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)
3 Downloads (Pure)


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.

Original languageEnglish
Article number8731640
Pages (from-to)254-260
Number of pages7
JournalIEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology
Issue number4
Early online date5 Jun 2019
Publication statusPublished - 21 Nov 2019
Event2018 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting - Boston, United States
Duration: 8 Jul 201813 Jul 2018


  • 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


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