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
Online-Zugang:	Volltext
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