Microwave imaging of foreign bodies inside wood trunks

The detection of foreign bodies inside wood trunks is a key task in the wood processing industry. Bullets, screws, or other debris can severely damage carpentry machinery, and, consequently, must be removed prior to processing. In this paper, the feasibility of a new prototype of microwave tomograph for the detection of metallic inclusions inside wood trunks is analyzed. Numerical simulations show that the proposed system configuration is able to acquire data that can be successfully used, in conjunction with a proper inversion procedure, to obtain the distribution of the conductivity of the sample under test, and consequently, to identify the presence of metallic inclusions

A numerical study concerning brain stroke detection by microwave imaging systems

In this paper, a numerical study devoted to evaluate the application of a microwave imaging method for brain stroke detection is described. First of all, suitable operating conditions for the imaging system are defined by solving the forward electromagnetic scattering problem with respect to simplified configurations and analyzing the interactions between an illuminating electromagnetic wave at microwave frequencies and the biological tissues inside the head. Then, preliminary inversion results are obtained by applying an imaging procedure based on an iterative Gauss-Newton scheme to a realistic model of the human head. The proposed imaging algorithm is able to deal with the nonlinear and ill-posed problem associated to the integral equations describing the inverse scattering problem. The aim of the inversion procedure is related to the determination of the presence of a hemorrhagic brain stroke by retrieving the distributions of the dielectric parameters of the human tissues inside a slice of the head model