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

doi:10.1109/JERM.2019.2921076

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

^*Corresponding author for this work

Mathematics And Statistics

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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.

Original language	English
Article number	8731640
Pages (from-to)	254-260
Number of pages	7
Journal	IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology
Volume	3
Issue number	4
Early online date	5 Jun 2019
DOIs	https://doi.org/10.1109/JERM.2019.2921076
Publication status	Published - 21 Nov 2019
Event	2018 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting - Boston, United States Duration: 8 Jul 2018 → 13 Jul 2018

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

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10.1109/JERM.2019.2921076

Coli-etal-IJE2019-Detection-simulated-brain-strokes-microwave-tomographyAccepted author manuscript, 10.3 MB

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title = "Detection of simulated brain strokes using microwave tomography",

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.",

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author = "Coli, {Vanna Lisa} and Tournier, {Pierre Henri} and Victorita Dolean and Kanfoud, {Ibtissam El} and Christian Pichot and Claire Migliaccio and Laure Blanc-Feraud",

note = "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: {\textcopyright} 2016 IEEE.; 2018 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APS/URSI 2018 ; Conference date: 08-07-2018 Through 13-07-2018",

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AU - Pichot, Christian

AU - Migliaccio, Claire

AU - Blanc-Feraud, Laure

N1 - 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.

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Y1 - 2019/11/21

N2 - 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.

AB - 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.

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Y2 - 8 July 2018 through 13 July 2018

ER -

Detection of simulated brain strokes using microwave tomography

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Keywords

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