An efficient two-dimensional FDTD method for bio-electromagnetic applications

We propose an efficient algorithm for the simulation of densely sampled biological objects. This technique is based on an algebraic multi-grid (AMG) accelerated Crank-Nicholson (CN) finite-difference time-domain (FDTD) method. Using this scheme, simulation time step sizes are no longer limited by the Courant-Friedrich-Levy (CFL) number. A practical guideline on how to choose appropriate time-step sizes for accurate bioelectromagnetic applications is also presented. Numerical examples are used to demonstrate the effectiveness of this technique.