Super-resolution microwave imaging: Time-domain tomography using highly accurate evolutionary optimization method

This paper presents a novel inverse scattering method for biomedical application using microwaves. The method is established based on an evolutionary algorithm-particle swarm optimization method which can achieve accurate results for high dimensional problems. The use of time domain data allows multiple frequency selectivity. 2D FDTD simulations have shown that the method attains super-resolution that offers 0.1 wavelength with only 10% dielectric contrast between the tumor and background. Thus, this method is promising for imaging early stage breast cancer where only small dielectric contrast of 10% could exist between breast tumor and glandular tissues.