title: Shape-based alignment of hippocampal subfields: evaluation in postmortem MRI.
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 mm3 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.
authors.affiliation: Department of Radiology, University of Pennsylvania, USA.
authors.forename: Paul A
authors.initials: PA
authors.lastname: Yushkevich
authors.forename: Brian B
authors.initials: BB
authors.lastname: Avants
authors.forename: John
authors.initials: J
authors.lastname: Pluta
authors.forename: David
authors.initials: D
authors.lastname: Minkoff
authors.forename: John A
authors.initials: JA
authors.lastname: Detre
authors.forename: Murray
authors.initials: M
authors.lastname: Grossman
authors.forename: James C
authors.initials: JC
authors.lastname: Gee
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D002102:Cadaver; D003198:Computer Simulation; D006624:Hippocampus / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008954:Models, Biological; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique