Generalized poisson 3-D scatterer distributions

This paper describes a simple, yet powerful ultrasound scatterer distribution model. The model extends a 1-D generalized Poisson process to multiple dimensions using a Hilbert curve. The model is intuitively tuned by spatial density and regularity parameters which reliably predict the first and second-order statistics of varied synthetic imagery.