3D Multi-Modality Medical Image Registration Using Feature Space Clustering

Abstract. In this paper, 3D voxel-similarity-based (VB) registration al-gorithms that optimize a feature-space clustering measure are proposed to combine the segmentation and registration process. We present a uni-fying denition and a classication scheme for existing VB matching cri-teria and propose a new matching criterion: the entropy of the grey-level scatter-plot. This criterion requires no segmentation or feature extrac-tion and no a priori knowledge of photometric model parameters. The ef-fects of practical implementation issues concerning grey-level resampling, scatter-plot binning, parzen-windowing and resampling frequencies are discussed in detail and evaluated using real world data (CT and MRI).