Comparison of 2-D and 3-D DBIM-TwIST for Brain Stroke Detection and Differentiation

This work presents preliminary results from a three-dimensional (3-D) iterative microwave imaging algorithm vs. its previous two-dimensional (2-D) implementation for detecting brain stroke. The imaging algorithm is based on the distorted Born iterative method (DBIM) combined with the two-step iterative shrinkage thresholding (TwIST) method. Our test scenarios are based on simplified phantoms with hemorrhagic and ischemic stroke targets, which are placed inside our previously developed microwave imaging prototype and are simulated using CST Microwave Studio. Our results demonstrate that both 2-D and 3-D implementations can detect and differentiate a stroke target placed at the same height (but off-centre) with the antenna array. Moreover, the target’s dielectric properties are estimated more accurately with the 3-D algorithm.