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Brain stroke microwave imaging by means of a Newton-conjugate-gradient method in Lp Banach spaces

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TitleBrain stroke microwave imaging by means of a Newton-conjugate-gradient method in Lp Banach spaces
Publication TypeJournal Article
Year of Publication2018
AuthorsBisio, I, Estatico, C, Fedeli, A, Lavagetto, F, Pastorino, M, Randazzo, A, Sciarrone, A
JournalIEEE Transactions on Microwave Theory and Techniques
Volume66
Issue8
Pagination3668–3682
ISSN0018-9480
KeywordsBanach spaces, brain stroke detection, conjugate gradient (CG), Dielectrics, Head, image reconstruction, Inverse problems, Mathematical model, Microwave imaging, Microwave theory and techniques
Abstract

A conjugate-gradient-based regularization technique in$^{\textrm{p\$}}$Banach spaces, in conjunction with an inexact-Newton solving scheme, is presented in this paper. The proposed method is applied to obtain the reconstruction of the dielectric properties of human tissues in hemorrhagic brain stroke microwave imaging. The dielectric reconstruction is obtained by solving a nonlinear inverse problem, starting from a set of scattered-field measurements. The presented numerical simulations with 2-D and 3-D anatomically realistic phantoms, as well as the preliminary experimental results, show that this method can be useful for retrieving the dielectric properties of the human head with a reduced over-smoothing effect in the final images.

DOI10.1109/TMTT.2018.2849060