This work addresses brain stroke evolution assessment in mimicked clinical conditions using a low-complexity microwave imaging (MWI) scanner and realistic anthropomorphic head models. In particular, the MWI prototype employs a wearable 22-element flexible-antenna array, keeping a simple architecture and demanding low-computing power. It allows a real-time follow-up of the stroke-affected areas, providing 3-D maps of the dielectric variation through a differential linear imaging approach based on the Truncated Singular Value Decomposition (TSVD), the distorted Born approximation, and artifact removal procedure. The system includes a digital twin that emulates high-fidelity scenarios via EM full-wave simulations performed in an in-house Finite Element Method (FEM) solver. Finally, the assessment examines the system’s monitoring capabilities involving custom-made and lifelike phantoms representing a dynamic stroke evolution.

Experimental validation of a microwave scanner for brain stroke monitoring in realistic head models / Origlia, C.; Rodriguez-Duarte, D. O.; Gugliermino, M.; Tobon Vasquez, J. A.; Scapaticci, R.; Crocco, L.; Vipiana, F.. - ELETTRONICO. - (2023), pp. 509-510. (Intervento presentato al convegno 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI) tenutosi a Portland, Oregon, USA nel 23-28 July 2023) [10.1109/USNC-URSI52151.2023.10237424].

Experimental validation of a microwave scanner for brain stroke monitoring in realistic head models

C. Origlia;D. O. Rodriguez-Duarte;M. Gugliermino;J. A. Tobon Vasquez;F. Vipiana
2023

Abstract

This work addresses brain stroke evolution assessment in mimicked clinical conditions using a low-complexity microwave imaging (MWI) scanner and realistic anthropomorphic head models. In particular, the MWI prototype employs a wearable 22-element flexible-antenna array, keeping a simple architecture and demanding low-computing power. It allows a real-time follow-up of the stroke-affected areas, providing 3-D maps of the dielectric variation through a differential linear imaging approach based on the Truncated Singular Value Decomposition (TSVD), the distorted Born approximation, and artifact removal procedure. The system includes a digital twin that emulates high-fidelity scenarios via EM full-wave simulations performed in an in-house Finite Element Method (FEM) solver. Finally, the assessment examines the system’s monitoring capabilities involving custom-made and lifelike phantoms representing a dynamic stroke evolution.
2023
978-1-6654-4228-2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2978036