This paper presents an upgraded version of a low-complexity microwave imaging (MWI) system for brain stroke monitoring using an off-the-shelf solid-state switching matrix, named correlator, and new optimized antenna-matching cells (Ant-MM). The new system architecture comprises a four-port transceiver made of two compact Vector Network Analyzers (VNA) in parallel, two 4-by-16 correlators, and twenty-two Ant-MMs placed on a head phantom as a helmet. The imaging consists of a qualitative linear inversion algorithm with low computing demand, running on a conventional laptop and retrieving 3-D dielectric contrast maps in real-time. As validation, the system is experimentally tested in a simplified but realistic mimicked hemorrhagic scenario using anthropomorphic phantoms, demonstrating its capability to image the stroke affection. Overall, the upgraded scanner keeps its imaging performance while reducing size at a portable or bedside patient level and data acquisition time.
Portable Microwave (pMWI) System for Brain Stroke Imaging Using Off-the-Shelf Components / Gugliermino, M.; Rodriguez-Duarte, D. O.; Origlia, C.; Tobon Vasquez, J. A.; Scapaticci, R.; Crocco, L.; Vipiana, F.. - (2024), pp. 485-488. (Intervento presentato al convegno 54th European Microwave Conference, EuMC 2024 tenutosi a Parigi (Fra) nel 22-27 September, 2024) [10.23919/eumc61614.2024.10732037].
Portable Microwave (pMWI) System for Brain Stroke Imaging Using Off-the-Shelf Components
Gugliermino, M.;Rodriguez-Duarte, D. O.;Origlia, C.;Tobon Vasquez, J. A.;Crocco, L.;Vipiana, F.
2024
Abstract
This paper presents an upgraded version of a low-complexity microwave imaging (MWI) system for brain stroke monitoring using an off-the-shelf solid-state switching matrix, named correlator, and new optimized antenna-matching cells (Ant-MM). The new system architecture comprises a four-port transceiver made of two compact Vector Network Analyzers (VNA) in parallel, two 4-by-16 correlators, and twenty-two Ant-MMs placed on a head phantom as a helmet. The imaging consists of a qualitative linear inversion algorithm with low computing demand, running on a conventional laptop and retrieving 3-D dielectric contrast maps in real-time. As validation, the system is experimentally tested in a simplified but realistic mimicked hemorrhagic scenario using anthropomorphic phantoms, demonstrating its capability to image the stroke affection. Overall, the upgraded scanner keeps its imaging performance while reducing size at a portable or bedside patient level and data acquisition time.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2995112