An innovative biomedical inverse scattering (IS) technique is proposed for microwave brain imaging. It leverages on a customized System-by-Design (SbD) methodology enabling an effective and computationally-efficient solution of the differential scattering problem thanks to (i) a "smart" definition of the problem unknowns and (ii) the artificial-intelligence (AI)-driven integration of a global optimizer with a fast digital twin (DT) of the data mismatch cost function.
AI-Enhanced Global Optimization for Microwave Brain Imaging / Zardi, F.; Salucci, M.; Poli, L.; Massa, A.. - (2022), pp. 888-889. (Intervento presentato al convegno 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI) tenutosi a Denver, Colorado, USA nel 10th-15th July 2022) [10.1109/AP-S/USNC-URSI47032.2022.9887195].
AI-Enhanced Global Optimization for Microwave Brain Imaging
Zardi F.;Salucci M.;Poli L.;Massa A.
2022-01-01
Abstract
An innovative biomedical inverse scattering (IS) technique is proposed for microwave brain imaging. It leverages on a customized System-by-Design (SbD) methodology enabling an effective and computationally-efficient solution of the differential scattering problem thanks to (i) a "smart" definition of the problem unknowns and (ii) the artificial-intelligence (AI)-driven integration of a global optimizer with a fast digital twin (DT) of the data mismatch cost function.| File | Dimensione | Formato | |
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