Numerical Modeling and High-Speed Parallel Computing: New Perspectives on Tomographic Microwave Imaging for Brain Stroke Detection and Monitoring.
october, 2017
Publication type:
Paper in peer-reviewed journals
Journal:
IEEE Antennas and Propagation Magazine, vol. 59 (5), pp. 98 - 110
Publisher:
Institute of Electrical and Electronics Engineers
HAL:
Keywords :
Tomography; Computational modeling; Brain modeling; Boundary conditions; Antenna measurements; whole-microwave measurement system; open source FreeFEM++ solver; parallel preconditioners; massively parallel computing; numerical modeling; inverse problem; ischemic brain stroke detection; iterative microwave tomographic imaging; high-speed parallel computing; high-order finite elements; hemorrhagic brain stroke detection; gradient based minimization algorithm; domain-specific language; domain decomposition method; parallel programming; brain stroke imaging; optical tomography; medical image processing; Finite element analysis;
BibTeX:
@article{Tou-Bon-Dol-Rap-Hec-Nat-Ali-ElK-Mig-DeB-Dar-Sem-Pic-2017,
author={Pierre-Henri Tournier and Marcella Bonazzoli and Victorita
Dolean and Francesca Rapetti and Frédéric Hecht and
Frédéric Nataf and Iannis Aliferis and Ibtissam El Kanfoud
and Claire Migliaccio and Maya De Buhan and Marion Darbas and
Serguei Semenov and Christian Pichot },
title={Numerical Modeling and High-Speed Parallel Computing: New
Perspectives on Tomographic Microwave Imaging for Brain Stroke
Detection and Monitoring. },
doi={10.1109/MAP.2017.2731199 },
journal={IEEE Antennas and Propagation Magazine },
year={2017 },
month={10},
volume={59 (5) },
pages={98--110},
}