A Microwave Diagnostic Technique for Early-Stage Brain Stroke Characterization

Abstract

An early diagnosis of brain stroke diseases is crucial to identify the recommended medical treatment in the first hours after the accident. In this contribution, the earlystage characterization of brain strokes is tackled by a microwave imaging technique which exploits the benefits of a combined qualitative/quantitative data inversion. A first qualitative image of the stroke is exploited to build the map of the Lebesgue-space exponent function adopted by the inner solving step of a Newton-type reconstruction approach. Numerical results are presented as an initial assessment of the proposed strategy.