Shape-Based Alignment of Hippocampal Subfields: Evaluation in Postmortem MRI

This paper estimates the accuracy, of hippocampal subfield alignment via shape-based normalization. Evaluation takes place ill post-mortem MRI dataset acquired at 9.4 Tesla with many averages and approximately 0.01 mm(3) voxel resolution. Continuous medial representations (cm-reps) are used to establish geometrical correspondences between hippocampal formations in different images: the extent to which these correspondences match up subfields is evaluated and compared to normalization driven by image forces. Shape-based normalization is shown to perforin only slightly worse than image-based normalization; this is encouraging because the former is more applicable to in vivo MRI, which typically lacks features that, distinguish hippocampal subfields.