An electrical impedance tomography system for brain stroke imaging based on a Lebesgue-space inversion procedure

An electrical impedance tomography (EIT) system for brain stroke monitoring is presented in this paper. The developed setup is composed by an ad-hoc measurement prototype equipped with an efficient imaging method for the reconstruction of the distribution of the electric conductivity of the body under test. In particular, a time-difference formulation is adopted, and the resulting ill-posed equation is solved by means of an iterative procedure performing a regularization in the framework of Lebesgue spaces. The performance of the method has been assessed by means of several numerical simulations. Moreover, a preliminary validation with experimental data has been performed, too. The obtained results confirm that the approach is able to effectively detect inclusions with different sizes and locations inside the considered head models.