Microwave imaging of the human head for stroke detection is demonstrated using the finite-element contrast source inversion method with enhanced discretization of the contrastsource variable. The linear basis functions used in the new discretization lead to a simple implementation of higher accuracy compared to discretizations wherein the contrast source variable is assumed to be constant over each tetrahedron of the 3D finite element mesh. These advantages are particularly important for stroke imaging because of the highly inhomogeneous nature of the human head. Results using synthetic data obtained from a realistic numerical model of the head show promise for stroke detection.

Brain Stroke Microwave Imaging via an Efficient Implementation of the CSI-FEM Algorithm / Mariano, Valeria; Banting, Lucas; Tobon Vasquez, Jorge A.; Jeffrey, Ian; Lovetri, Joe; Vipiana, Francesca. - ELETTRONICO. - (2023). (Intervento presentato al convegno 2023 17th European Conference on Antennas and Propagation (EuCAP) tenutosi a Florence, Italy nel 26-31 March 2023) [10.23919/EuCAP57121.2023.10133102].

Brain Stroke Microwave Imaging via an Efficient Implementation of the CSI-FEM Algorithm

Valeria Mariano;Jorge A. Tobon Vasquez;Francesca Vipiana
2023

Abstract

Microwave imaging of the human head for stroke detection is demonstrated using the finite-element contrast source inversion method with enhanced discretization of the contrastsource variable. The linear basis functions used in the new discretization lead to a simple implementation of higher accuracy compared to discretizations wherein the contrast source variable is assumed to be constant over each tetrahedron of the 3D finite element mesh. These advantages are particularly important for stroke imaging because of the highly inhomogeneous nature of the human head. Results using synthetic data obtained from a realistic numerical model of the head show promise for stroke detection.
2023
978-1-6654-7541-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2979098