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).
Original language | English |
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Title of host publication | 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting - Proceedings |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 223-224 |
Number of pages | 2 |
ISBN (Print) | 9781538671023 |
DOIs | |
Publication status | Published - 14 Jan 2019 |
Event | 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Boston, United States Duration: 8 Jul 2018 → 13 Jul 2018 |
Conference
Conference | 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 |
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Country/Territory | United States |
City | Boston |
Period | 8/07/18 → 13/07/18 |
Keywords
- hemorrhaging
- microwave imaging
- permittivity
- microwave theory and techniques
- tomography
- brain modeling