Modeling perfusion by fractal tree and stochastic dynamics

Abstract

We model the perfusion process based on the generation of an artificial arterial tree using a fractal approach. The model can be incorporated into a multiscale framework by providing the initial points from a specific geometry of a real patient. Additionally we supplement the small scale by diffusion processes which are captured by the GPU-accelerated stochastic dynamics. The preliminary results of such modeling and its possible application to real case scenarios are discussed.