A fast and robust algorithm for 2D/3D panorama ultrasound data

This paper presents a fast and robust algorithm for generating compound panorama images from partially (spatially) overlapping data sets. This method results in optimizing a nonlinear functional. We propose a multiscale approach for the solution of the optimization problem that is based on a multiresolution approximation of the image data. This approach makes the computations both fast and stable.