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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| Published in: | IEEE antennas & propagation magazine Vol. 59; no. 5; pp. 98 - 110 |
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| Main Authors: | , , , , , , , , , , , , |
| Format: | Magazine Article |
| Language: | English |
| Published: |
New York
IEEE
01.10.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers |
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| ISSN: | 1045-9243, 1558-4143 |
| Online Access: | Get full text |
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| Abstract | 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 successive solutions of a direct problem such as the accurate modeling of a whole-microwave measurement system. Moreover, a sufficiently high number of unknowns is required to accurately represent the solution. As the system will be used for detecting a brain stroke (ischemic or hemorrhagic) as well as for monitoring during the treatment, the running times for the reconstructions should be reasonable. The method used is based on high-order finite elements, parallel preconditioners from the domain decomposition method and domain-specific language with the opensource FreeFEM++ solver. |
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| AbstractList | 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 successive solutions of a direct problem such as the accurate modeling of a whole-microwave measurement system. Moreover, a sufficiently high number of unknowns is required to accurately represent the solution. As the system will be used for detecting a brain stroke (ischemic or hemorrhagic) as well as for monitoring during the treatment, the running times for the reconstructions should be reasonable. The method used is based on high-order finite elements, parallel preconditioners from the domain decomposition method and domain-specific language with the opensource FreeFEM++ solver. |
| Author | Semenov, Serguei Dolean, Victorita Hecht, Frederic Darbas, Marion Pichot, Christian de Buhan, Maya Nataf, Frederic Bonazzoli, Marcella El Kanfoud, Ibtissam Aliferis, Iannis Migliaccio, Claire Tournier, Pierre-Henri Rapetti, Francesca |
| Author_xml | – sequence: 1 givenname: Pierre-Henri surname: Tournier fullname: Tournier, Pierre-Henri email: tournier@ljll.math.upmc.fr organization: LJLL, UPMC, CNRS, INRIA Paris, France, Paris, France – sequence: 2 givenname: Marcella surname: Bonazzoli fullname: Bonazzoli, Marcella email: marcella.bonazzoli@unice.fr organization: LJAD, Universite Cote d'Azur, CNRS, France, Nice, France – sequence: 3 givenname: Victorita surname: Dolean fullname: Dolean, Victorita email: dolean@unice.fr organization: LJAD, Universite Cote d'Azur, CNRS, France, Nice, France – sequence: 4 givenname: Francesca surname: Rapetti fullname: Rapetti, Francesca email: francesca.rapetti@unice.fr organization: LJAD, Universite Cote d'Azur, CNRS, France, Nice, France – sequence: 5 givenname: Frederic surname: Hecht fullname: Hecht, Frederic email: frederic.hecht@upmc.fr organization: LJLL, University Pierre et Marie Curie, France, Nice, France – sequence: 6 givenname: Frederic surname: Nataf fullname: Nataf, Frederic email: nataf@ljll.math.upmc.fr organization: LJLL, University Pierre et Marie Curie, France, Nice, France – sequence: 7 givenname: Iannis surname: Aliferis fullname: Aliferis, Iannis email: iannis.aliferis@unice.fr organization: LEAT, Universite Cote d'Azur, CNRS, France, Sophia Antipolis, France – sequence: 8 givenname: Ibtissam surname: El Kanfoud fullname: El Kanfoud, Ibtissam email: ielkanfoud@unice.fr organization: LEAT, Universite Cote d'Azur, CNRS, France, Sophia Antipolis, France – sequence: 9 givenname: Claire surname: Migliaccio fullname: Migliaccio, Claire email: claire.migliaccio@unice.fr organization: LEAT, Universite Cote d'Azur, CNRS, France, Sophia Antipolis, France – sequence: 10 givenname: Maya surname: de Buhan fullname: de Buhan, Maya email: maya.de-buhan@parisdescartes.fr organization: MAP5, Universite Paris-Descartes, CNRS, Paris, France – sequence: 11 givenname: Marion surname: Darbas fullname: Darbas, Marion email: marion.darbas@u-picardie.fr organization: Universite Picardie, Amiens, France, Amiens, France – sequence: 12 givenname: Serguei surname: Semenov fullname: Semenov, Serguei email: serguei.semenov@emtensor.com organization: EMTensor GmbH, Vienna, Austria, Vienna, Austria – sequence: 13 givenname: Christian orcidid: 0000-0002-3141-6637 surname: Pichot fullname: Pichot, Christian email: christian.pichot@unice.fr organization: LEAT, Universite Cote d'Azur, CNRS, France, Sophia Antipolis, France |
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| Cites_doi | 10.1161/STR.0b013e318296aeca 10.1002/jnm.2229 10.1137/S0895479899358194 10.1051/m2an:2007049 10.1002/9781119136941 10.1137/S106482759732678X 10.1137/080728536 10.1109/TBME.2014.2307072 10.1007/978-3-540-34469-8_22 10.1145/2503210.2503212 10.1109/CAMA.2014.7003417 10.1137/1.9781611974065 10.1109/TAP.2007.905954 10.1109/TMI.2002.800590 10.1109/TAP.2013.2291564 10.1007/BF01396415 10.1016/j.future.2003.07.011 10.1515/jnum-2012-0013 |
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| Keywords | 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 |
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| SubjectTerms | 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 |
| Title | Numerical Modeling and High-Speed Parallel Computing: New Perspectives on Tomographic Microwave Imaging for Brain Stroke Detection and Monitoring |
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