Efficient microwave breast imaging technique using parallel finite difference time domain and parallel genetic algorithms

This paper addresses the nonlinear tomographic image reconstruction problem with particular emphasis on developing efficient numerical algorithms for early breast cancer detection using parallel algorithms to enhance both the speed and quality of the recovered images. Our goal is to illustrate an effective method of microwave imaging for early stage breast cancer detection, using parallel finite-difference time domain method (PFDTD) and parallel genetic algorithms (PGAs) optimization, by using message passing interface (MPI) library.