A Physically-Based Ultrasonic Image Model for Inference of Shape
Jason W. Trobaugh, R. Martin Arthur

Our image model incorporates three fundamental components of image formation: the system characteristics via a 3-D PSF, the gross surface shape, and the surface microstructure. This comprehensive physical model permits simulation of individual images. It also provides the mathematical basis for a probabilistic representation using pixel-based statistics and allowing the construction of an image-wide data likelihood. The data likelihood enables Bayesian inference of underlying characteristics such as the surface pose.  

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