This paper estimates the accuracy of hippocampal subfield alignment via shape-based normalization. Evaluation takes place in postmortem 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 perform 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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Yushkevich, P. A., Avants, B. B., Pluta, J., Minkoff, D., Detre, J. A., Grossman, M., & Gee, J. C. (2008). Shape-based alignment of hippocampal subfields: evaluation in postmortem MRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5241 LNCS, pp. 510–517). https://doi.org/10.1007/978-3-540-85988-8_61
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