A template-matching approach to registration of volumetric images is introd
uced. The process automatically selects a dozen highly detailed and unique
templates (cubic or spherical subvolumes) from one image and locates the te
mplates in another image of the same scene. The centroids of the correspond
ing templates are used as corresponding control points and the best four co
rrespondences that minimize an error criterion are used to determine the tr
anslational and rotational parameters needed to register the images. Use of
different similarity measures in template matching and determination of co
ordinates of corresponding control points with subpixel accuracy are also d
iscussed. (C) 2001 Elsevier Science B.V. All rights reserved.