This work gathers the pathway from the design to the experimental testing of a microwave imaging prototype to monitor brain stroke in real-time conditions, approaching thus the electromagnetic inverse problem of retrieving a dielectric temporal variation within the head. To this end, it presents a low-complexity device consisting of twentytwo custom-made radiating elements working with a linear imaging algorithm based on distorted Born approximation and a truncated singular value decomposition, able to localize, identify and track the stroke evolution. The system is prototyped using a compact two-ports vector analyzer and electromechanical switching matrix. It is assessed experimentally via a mimicked hemorrhagic condition, demonstrating the system’s capabilities to follow up centimetric confined variations, retrieving 3-D maps of the studied cases in real-time.
A low-complexity microwave scanner for cerebrovascular diseases monitoring / Rodriguez-Duarte, D. O.; Origlia, C.; Tobon Vasquez, J. A.; Scapaticci, R.; Turvani, G.; Casu, M. R.; Crocco, L.; Vipiana, F.. - ELETTRONICO. - (2023), pp. 1-4. (Intervento presentato al convegno 2023 XXXVth URSI General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS) tenutosi a Sapporo, Japan nel August 19 - 26, 2023) [10.23919/URSIGASS57860.2023.10265362].
A low-complexity microwave scanner for cerebrovascular diseases monitoring
D. O. Rodriguez-Duarte;C. Origlia;J. A. Tobon Vasquez;G. Turvani;M. R. Casu;F. Vipiana
2023
Abstract
This work gathers the pathway from the design to the experimental testing of a microwave imaging prototype to monitor brain stroke in real-time conditions, approaching thus the electromagnetic inverse problem of retrieving a dielectric temporal variation within the head. To this end, it presents a low-complexity device consisting of twentytwo custom-made radiating elements working with a linear imaging algorithm based on distorted Born approximation and a truncated singular value decomposition, able to localize, identify and track the stroke evolution. The system is prototyped using a compact two-ports vector analyzer and electromechanical switching matrix. It is assessed experimentally via a mimicked hemorrhagic condition, demonstrating the system’s capabilities to follow up centimetric confined variations, retrieving 3-D maps of the studied cases in real-time.File | Dimensione | Formato | |
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URSI_GAAS_2023_DR_CO_authorVersion.pdf
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https://hdl.handle.net/11583/2981772