Microwave inverse scattering imaging is very useful in biomedical applications where the dielectric properties of human tissues have to be restored by means of minimally-invasive techniques. In this talk we discuss iterative regularization algorithms developed in non-standard functional spaces, with application to continuous monitoring of hemorrhagic brain strokes.
Iterative regularization methods in non-Euclidean settings for microwave inverse scattering medical imaging
Estatico, Claudio;Fedeli, Alessandro;Randazzo, Andrea
2025-01-01
Abstract
Microwave inverse scattering imaging is very useful in biomedical applications where the dielectric properties of human tissues have to be restored by means of minimally-invasive techniques. In this talk we discuss iterative regularization algorithms developed in non-standard functional spaces, with application to continuous monitoring of hemorrhagic brain strokes.
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