Order selection criteria for detecting mean scatterer spacings with the AR model

This paper examines the detection of regular scatterer spacings from backscattered ultrasound using the autoregressive (AR) cepstrum. Monte Carlo simulations present a relationship between the probability of detection and the AR model order. An example using liver tissue data supports the observations made in the simulation.