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We present a new method for the fast and robust computation of information theoretic similarity measures for alignment of multi-modality medical images. The proposed method defines a non-uniform, adaptive sampling scheme for estimating the entropies of the images, which is less vulnerable to local maxima as compared to uniform and random sampling. The sampling is defined using an octree partition of the template image, and is preferable over other proposed methods of non-uniform sampling sincedoi:10.1007/978-3-540-75757-3_115 dblp:conf/miccai/SundarSBXD07 fatcat:7dopyvagcrbrjprlf7yimi4tei