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MMSE reconstruction for 3d ultrasound images

The reconstruction of 3D ultrasound (US) images from a set of irregularly spaced B-scans is of great interest in clinic procedures. Due to the presence of speckle, a form of multiplicative noise, 3D US reconstruction for high image quality data is a difficult task. Conventional reconstruction algorithms have low computational complexity but the reconstructed volume suffers from severe speckle contamination. In this paper, we propose a novel reconstruction method, which is optimal in minimum mean-squared error (MMSE) sense with a multiplicative noise model. Simulation results for synthetic US images, as well as experimental data are presented.