Optimization of a microwave tomography algorithm using the DDA as a fast forward solver

Paper in proceeding, 2019

© 2019 IEEE. The forward model directly impacts the computation time of an iterative image reconstruction algorithm for microwave tomography. Therefore, there is a need to decrease the computation time without sacrificing accuracy. To accomplish this, the discrete dipole approximation (DDA) is used to improve time efficiency. Although the DDA is an accurate and efficient forward solver, the optimization of its implementation can have a significant impact on its time efficiency. We propose a possible forward solution set-up to benefit in computation time efficiency. Optimizing the DDA implementation can decrease the computation time for a microwave tomography algorithm significantly, and thus produces images closer to real time.