THE SUBTLETIES OF ULTRASOUND IMAGES OF AN ENSEMBLE OF CELLS - SIMULATION FROM REGULAR AND MORE RANDOM DISTRIBUTIONS OF SCATTERERS

Significant differences in the backscatter amplitudes which are correlated with different tissue morphology have been observed in ultrasound images of tissue. While many factors could be linked to subtle changes in the images, the purpose of this paper is to explore the possibility that backscatter signals are linked to the organization of the spatial distribution of individual cells that produce an ensemble of scattering sources. Simple one- and two-dimensional simulations of backscatter signals produced by weak scatterers separated by much less than lambda to <lambda in regular, random, and pseudo-random distributions in a ''sample'' are performed. Both regular acid pseudo-random distributions produce large boundary signals, and in the central regions of the sample, the square root of the backscatter power is directly related to the amount of randomization, R, over a large range. Large changes in backscattering intensities are predicted for the same density of scatterers with differing R in different regions of the same sample. Thus, the subtle differences in the scattering distribution should show significant changes in the backscatter images.