In this study, the super-resolution (SR) method is used to reconstruct high-resolution MRI volumes from multi-orientation and through-plane shift low-resolution neonatal MRI. Multi-orientation low-resolution images yield higher quality SR results than through-plane shift low-resolution images. SR reconstructed volumes and high-resolution volumes from the scanner are segmented with a morphology-based segmentation algorithm. Segmentation quality is similar between the SR reconstructed volume and the high-resolution volume. Since low-resolution acquisitions are faster, they are less prone to motion artifacts, and thus the reconstructed SR volumes are an alternative to lengthy high-resolution acquisitions.