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

Authors:
Paul A. Yushkevich;Brian B. Avants;John Pluta;David Minkoff;John A. Detre;Murray Grossman;James C. Gee
Affiliations:
Department of Radiology, University of Pennsylvania,;Department of Radiology, University of Pennsylvania,;Department of Radiology, University of Pennsylvania, and Department of Neurology, University of Pennsylvania,;Department of Radiology, University of Pennsylvania, and Department of Neurology, University of Pennsylvania,;Department of Radiology, University of Pennsylvania, and Department of Neurology, University of Pennsylvania,;Department of Neurology, University of Pennsylvania,;Department of Radiology, University of Pennsylvania,
Venue:
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Year:
2008

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Abstract

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,mm3voxel 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 vivoMRI, which typically lacks features that distinguish hippocampal subfields.