Compressed sensing (CS) is well known method for solving fast reconstruction of magnetic
resonance (MR) images. However, the quality of the reconstructed images is sensitive to the …

We propose a new inverse scattering technique based on sparsity for the application of
microwave imaging. The underdetermined inverse problem appeared in the distorted born …

Quantitative active microwave imaging for breast cancer screening and therapy monitoring
applications requires adequate reconstruction algorithms, in particular with regard to the …

This letter proposes a hybrid microwave medical imaging (MMI) approach to reconstruct the
inner structure of the human body with improved accuracy on mapping the dielectric …

A new microwave image reconstruction method is proposed to recover a nonsparse object
using the iterative method with adaptive thresholding for compressed sensing (IMATCS) …

Iterative shrinkage thresholding algorithms have been proposed recently for various
microwave imaging applications. This paper presents for the first time an implementation of …

Regularization is a popular technique in machine learning for model estimation and for
avoiding overfitting. Prior studies have found that modern ordered regularization can be …

In this article, an electromagnetic inverse scattering problem (EISP) method is implemented
successfully to capture the dynamic phenomena of the scene with affine deformation. In the …

A nonlinear inversion scheme is proposed for electromagnetic inverse scattering imaging. It
exploits inexact Newton (IN) and least square QR factorization (LSQR) methods to tackle the …

Abstract Microwave Tomography Imaging System (MwTIS) is an emerging tool for medical
diagnosis in the non-invasive screening process. This paper addresses the ill-condition …