Permittivity and Conductivity Estimation for Hyperthermia Treatment Planning

In this contribution, an original approach for invivo estimation of electrical properties of biological tissues is presented. Such an estimation represents an essential step in hyperthermia treatment planning, wherein typically magnetic resonance or computerized tomography images are exploited and turned into electric parameters, based on available ex-vivo measured properties, to predict the effects of the treatment. As parameters change from patient to patient and can be quite different from the ex-vivo ones, the proposed approach is based on the solution of an inverse scattering problem, processing backscattered data measured from the patient and conveniently exploiting the morphological information on tissues available from medical images, to overcome the well-known issues arising in the solution of inverse problems.

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