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Detection of Brain Strokes Using Microwave Tomography

Vanna Lisa Coli 1 Pierre-Henri Tournier 2 Victorita Dolean 3 Ibtissam El Kanfoud 3 Christian Pichot 3 Claire Migliaccio 3 Laure Blanc-Féraud 4
2 ALPINES - Algorithms and parallel tools for integrated numerical simulations
INSMI - Institut National des Sciences Mathématiques et de leurs Interactions, Inria de Paris, LJLL (UMR_7598) - Laboratoire Jacques-Louis Lions
4 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : Brain stroke is a major cause of disability and death worldwide. There are two types of stroke, ischemic or cerebral infarction (85% of cases) and hemorrhagic (15%). The diagnosis must be made quickly (within 3 to 4 hours after the onset of symptoms) to determine the nature of the stroke and proceed to treatment. Recent works have shown the modification of the complex permittivity according to the nature of stroke [1] in the microwave domain. We are interested here in the detection of brain strokes using microwave tomography. We present results obtained by electromagnetic simulations coupled to a realistic noise model of measurements. The forward problem is based on a massively parallel computing using domain decomposition method, and an inverse problem based on L-BFGS algorithm with a regularization based on total variation (TV).
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https://hal.archives-ouvertes.fr/hal-01824526
Contributor : Sophie Gaffé-Clément <>
Submitted on : Wednesday, June 27, 2018 - 12:15:30 PM
Last modification on : Friday, June 5, 2020 - 4:44:03 AM

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Vanna Lisa Coli, Pierre-Henri Tournier, Victorita Dolean, Ibtissam El Kanfoud, Christian Pichot, et al.. Detection of Brain Strokes Using Microwave Tomography. IEEE 2018 - International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Jul 2018, Boston, United States. pp.223-224, ⟨10.1109/APUSNCURSINRSM.2018.8609404⟩. ⟨hal-01824526⟩

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