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 cm 3 and 60 cm 3 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.
Wearable Microwave Imaging System for Brain Stroke Imaging / Rodriguez-Duarte, D. O.; Origlia, C.; Tobon Vasquez, J. A.; Scapaticci, R.; Crocco, L.; Vipiana, F.. - ELETTRONICO. - (2022), pp. 1716-1717. (Intervento presentato al convegno 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI) tenutosi a Denver, CO, USA nel 10-15 July 2022) [10.1109/AP-S/USNC-URSI47032.2022.9887338].
Wearable Microwave Imaging System for Brain Stroke Imaging
Rodriguez-Duarte, D. O.;Origlia, C.;Tobon Vasquez, J. A.;Vipiana, F.
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 cm 3 and 60 cm 3 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.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2971980