Automatic thalamus segmentation is a field of study with rapidly evolving applications. Both structural and diffusion weighted MRI can be used to drive parcellations of thalamus nuclei. In this study we present a comparison of leading structural and DWI-based segmentation techniques as implemented on a common set of subject datasets. Results for each are compared, both against an established anatomical atlas and each other. Spatial consistency of nuclei are examined in common template space. Finally, strengths and weaknesses of both techniques are discussed.