Detection of brain strokes using microwave tomography

Coli, Vanna Lisa and Tournier, Pierre-Henri and Dolean, Victorita and El Kanfoud, Ibtissam and Pichot, Christian and Migliaccio, Claire and Blanc-Féraud, Laure (2019) Detection of brain strokes using microwave tomography. In: 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting - Proceedings. IEEE, Piscataway, NJ, pp. 223-224. ISBN 9781538671023

[img]
Preview
Text (Coli-etal-IEEE-2019-Detection-of-brain-strokes-using-microwave-tomography)
Coli_etal_IEEE_2019_Detection_of_brain_strokes_using_microwave_tomography.pdf
Accepted Author Manuscript

Download (6MB)| Preview

    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).