Stroke identification by means of microwave tomography requires a very accurate
reconstruction of the dielectric properties inside patient's head. This is possible when a …

Compressive sensing (CS) is currently one the most active research fields in information
engineering and science. The flexibility, robustness, accuracy, effectiveness, and sound …

This article describes a microwave tomographic approach for the quantitative imaging of
brain stroke inside the human head. For the acquisition of the scattered-field information, a …

A novel distorted Born iterative method (DBIM) algorithm is proposed for microwave breast
imaging based on the two-step iterative shrinkage/thresholding method. We show that this …

We present an initial experimental validation of a microwave tomography (MWT) prototype
for brain stroke detection and classification using the distorted Born iterative method, two …

A modified distorted Born iterative method (DBIM), which includes clustering of
reconstructed electrical properties (EPs) after certain iterations, is presented for brain …

In this paper, we present a new variational Born iterative method (VBIM) for real-time
microwave imaging (MWI) applications. The S-parameter volume integral equation and …

Objective: This paper proposes a novel microwave imaging (MWI) multifrequency technique,
which combines compressive sensing (CS) with the well-known distorted Born iterative …

In microwave breast cancer imaging magnetic nanoparticles have been recently proposed
as contrast agent. Due to the non-magnetic nature of human tissues, magnetic nanoparticles …

The linearity of the scattering phenomenon with respect to primary sources allows to
recombine a posteriori the available experiments and build, in a synthetic fashion, new …