The motivation of this work is the detection of cerebrovascular accidents by microwave tomographic imaging. This requires the solution of an inverse problem based on a minimization algorithm with successive solutions of a direct problem such as the modeling of a whole-microwave measurement system. The feasibility of this type of imaging is conditioned on one hand by an accurate reconstruction of the material properties of the propagation medium and on the other hand by a considerable reduction of simulation time. Fulfilling these two requirements will enable a very rapid and accurate diagnosis. From the mathematical and numerical point of view, this means solving Maxwell's equations in time-harmonic regime using high-order finite elements, domain decomposition method and parallel computing.
Imagerie micro-onde pour la détection des accidents vasculaires cérébraux / Microwave Tomographic Imaging of Cerebrovascular Accidents
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Nom de l'orateur
Maya de Buhan
Etablissement de l'orateur
Laboratoire de Mathématiques Appliquées de Paris 5
Date et heure de l'exposé
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salle des séminaires