A NEWTON-TYPE RECONSTRUCTION ALGORITHM FOR A 434 MHZ MICROWAVE IMAGING SCANNER

A 2D-TM iterative complex permittivity reconstruction algorithm is presented. A particular feature of the algorithm is that the forward model accounts for the presence of the environment, in this case a circular 434 MHz microwave imag-ing scanner, developed at CNRS/Supélec for biomedical imaging experiments. The particular geometry of the scanner allows to apply a computationally efficient embedding technique. The reconstruction algorithm is based on quasi-Newton optimization with approximate line searches and with the BFGS formula to update the Hessian matrix. The technique is illustrated with reconstructions of an inhomogeneous lossy dielectric cylinder from simulated data