I. Introduction
Microwave imaging (MWI) techniques have been widely used in biomedical applications in the last few decades [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13]. Recent advances in the imaging systems and algorithms have suggested MWI systems for diagnosis and treatment monitoring applications [8], [9], [11], [12], [13], [14], [15], [16]. Among these, simulation-based designs have leveraged novel computational-electromagnetic (EM) forward and inverse scattering algorithms or artificial-intelligence-assisted methods to achieve high- and super-resolution imaging [11], [12], [13], [15], [16], [17], [18], [19], [20], [21]. The realization of some of these designs has resulted in (pre)clinical imaging systems capable of therapy monitoring and identification of brain strokes, breast tumors, and bone fractures [4], [9], [11], [13], [15], [17], [22], [23], [24], [25].