Numerical Modeling and High-Speed Parallel Computing: New Perspectives on Tomographic Microwave Imaging for Brain Stroke Detection and Monitoring

This article deals with microwave tomography for brain stroke imaging using state-of-the-art numerical modeling and massively parallel computing. Iterative microwave tomographic imaging requires the solution of an inverse problem based on a minimization algorithm (e.g., gradient based) with successi...

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Veröffentlicht in:	IEEE antennas & propagation magazine Jg. 59; H. 5; S. 98 - 110
Hauptverfasser:	Tournier, Pierre-Henri, Bonazzoli, Marcella, Dolean, Victorita, Rapetti, Francesca, Hecht, Frederic, Nataf, Frederic, Aliferis, Iannis, El Kanfoud, Ibtissam, Migliaccio, Claire, de Buhan, Maya, Darbas, Marion, Semenov, Serguei, Pichot, Christian
Format:	Magazine Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Antenna measurements Boundary conditions Brain Brain modeling Computation Computational modeling Domain decomposition methods Domain specific languages Electromagnetism Engineering Sciences Finite element analysis Imaging Inverse problems Iterative methods Mathematical models Medical imaging Monitoring Tomography Antenna measurements domain decomposition method inverse problem Computational modeling Boundary conditions parallel preconditioners optical tomography whole-microwave measurement system brain stroke imaging parallel programming massively parallel computing open source FreeFEM++ solver high-order finite elements domain-specific language hemorrhagic brain stroke detection ischemic brain stroke detection Tomography Brain modeling iterative microwave tomographic imaging Finite element analysis gradient based minimization algorithm medical image processing high-speed parallel computing numerical modeling
ISSN:	1045-9243, 1558-4143
Online-Zugang:	Volltext
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