Characterization of ultrasonic backscatter based on generalized entropy

This paper presents a novel approach to ultrasound backscatter characterization based on generalized entropy. This approach makes no assumptions about the specific scattering distribution. Low order Renyi and Tsallis entropies have a higher dynamic range than Shannon entropy over a range of scattering conditions, and are therefore useful in estimating scatterer density and regularity. A neural network estimator is constructed to illustrate the validity of this approach.