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Wearable Microwave Imaging System for Brain Stroke Imaging

Contributo in Atti di convegno
Data di Pubblicazione:
2022
Abstract:
This paper presents the experimental validation of the detection capabilities of a low complexity wearable system designed for the imaging-based detection of brain stroke. The system approaches the electromagnetic inverse problem via a 3-D imaging algorithm based on the Born approximation and the Truncated Singular Value Decomposition (TSVD). For testing, flexible antennas with custom-made coupling-medium are prototyped and assessed in mimicked hemorrhagic and ischemic stroke conditions. The experiment emulates the clinical scenario using a single-tissue anthropomorphic head phantom and strokes with both 20 cm3 and 60 cm3 ellipsoid targets. The imaging kernel is computed via full-wave simulation of a virtual twin model. The results demonstrate the capabilities for detecting and estimating the stroke-affected area.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Microwave antennas; Computational modeling; Scattering; Phantoms; Brain modeling; Kernel; Testing
Elenco autori:
Crocco, Lorenzo; Scapaticci, Rosa
Autori di Ateneo:
CROCCO LORENZO
SCAPATICCI ROSA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/419524
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http://www.scopus.com/record/display.url?eid=2-s2.0-85139762587&origin=inward
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