A multifrequency electromagnetic imaging approach for the detection of brain injuries

Stroke diagnostics may benefit from an early detection and a continuous monitoring of the disease, which is possible thanks to the application of electromagnetic imaging systems. However, the inverse problem that should be tackled to retrieve a quantitative microwave image of the dielectric properties of the head tissues presents many challenging points, i.e., ill-posedness, non-linearity, and weak stroke response. In the framework of Lebesgue-space methods with adaptive exponent functions, the present paper proposes the adoption of a simultaneous processing of multifrequency data. Initial results coming from a numerical assessment with a detailed three-dimensional phantom of the human head are presented and discussed, analyzing the case of a simulated hemorrhagic event.