Voxel-wise cluster analysis of any MR-derived metric necessitates non-linear registration to a common brain template. Because quality of inter-brain registrations is sensitive to the similarity between the brains, the results of such analyses are sensitive to the choice of the template. Despite judicious selection of the template may reduce registration errors, inherently the results should not depend on template choice. We show that a dramatic reduction in this sensitivity is achieved by filtering out poorly registered images. Consequently, voxel-wise cluster analyses of the remaining data become more robust and less sensitive to the choice of the template.