Detection of Simulated Brain Strokes Using Microwave Tomography

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 app...

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Veröffentlicht in:IEEE journal of electromagnetics, RF and microwaves in medicine and biology Jg. 3; H. 4; S. 254 - 260
Hauptverfasser: Coli, Vanna Lisa, Tournier, Pierre-Henri, Dolean, Victorita, Kanfoud, Ibtissam El, Pichot, Christian, Migliaccio, Claire, Blanc-Feraud, Laure
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.12.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
biomedical imaging
Brain
brain modeling
brain stroke imaging
Computational modeling
Computer simulation
dielectric constant
Domain decomposition methods
domain-specific language
Electromagnetism
Engineering Sciences
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
Medical imaging
Microwave imaging
numerical modeling
open source FreeFem++ solver
Optimization
optimization methods
Parallel processing
parallel programming
Permittivity
Regularization
regularization methods
Signal reconstruction
Stroke (medical condition)
Strokes
Tomography
total variation
whole-microwave measurement system
Microwave theory and techniques
Electromagnetics
Permittivity
Hemorrhaging
Blood
Microwave imaging
ISSN:2469-7249, 2469-7257
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
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ObjectType-Feature-2
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ISSN:2469-7249
2469-7257
DOI:10.1109/JERM.2019.2921076