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

Pierre-Henri Tournier (1) , Marcella Bonazzoli (2) , Victorita Dolean (2) , Francesca Rapetti (2) , Frédéric Hecht (1) , Frédéric Nataf (1) , Iannis Aliferis (3) , Ibtissam El Kanfoud (3) , Claire Migliaccio (3) , Maya de Buhan (4) , Marion Darbas (5) , Serguei Semenov (6) , Christian Pichot (3)

1 LJLL - Laboratoire Jacques-Louis Lions
2 LJAD - Laboratoire Jean Alexandre Dieudonné
3 LEAT - Laboratoire d'Electronique, Antennes et Télécommunications
4 MAP5 - UMR 8145 - Mathématiques Appliquées Paris 5
5 LAMFA - Laboratoire Amiénois de Mathématique Fondamentale et Appliquée
6 EMTensor GmbH

This paper deals with microwave tomography for brain stroke imaging using state-of-the-art numerical modeling and massively parallel computing. 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 the brain stroke (ischemic or hemorrhagic) as well as for monitoring during the treatment, 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 open source FreeFEM++ solver.

Mots clés: High Performance Computing; Finite element analysis; Microwave Imaging; Electromagnetic Diffraction; Microwave antenna arrays; Biomedical Imaging; Inverse Problems; Parallel computers

Domaines: Imagerie médicale; Imagerie; Analyse numérique [math.NA]

Pierre-Henri Tournier, Marcella Bonazzoli, Victorita Dolean, Francesca Rapetti, Frédéric Hecht, et al.. Numerical Modeling and High Speed Parallel Computing: New Perspectives for Tomographic Microwave Imaging for Brain Stroke Detection and Monitoring. 2016. ⟨hal-01356092⟩