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The core is a multiscale object description extracted directly from an image in which the significance of object features depends on the scale at which the object is currently being considered. Core descriptions extracted from the same object using different imaging modalities display remarkable similarities despite noise and variations imposed by the imaging devices. Core based registration methods have been successfully employed in examples of 3D registration that would have caused boundary or contour based methods to fail. In this paper, we present an overview of the core, and describe its properties that make it a promising approach toward registration. Our current core-based method of registration is also presented. Results of the registration of 3D volumes from both a single imaging modality and from two different modalities are given.
Liu et al. (Fri,) studied this question.