title: Models of normal variation and local contrasts in hippocampal anatomy.
abstract: We develop a model of continuous spherical shapes and use it to analyze the anatomy of the hippocampus. To account for the geometry of bends and folds, the model relies on a geodesic metric that is sensitive to first-order deformations. We construct an atlas of the hippocampus as a mean shape and develop statistical models to characterize quantitative and qualitative normal shape variation. We also develop a localization tool to identify local contrasts in the anatomy of different populations. The tool is applied to the detection, characterization and visualization of anatomical differences such as local enlargement and gains in volume on the right hippocampus of blind subjects.
authors.affiliation: Department of Mathematics, Florida State University, Tallahassee, FL 32306, USA.
authors.forename: Xinyang
authors.initials: X
authors.lastname: Liu
authors.forename: Washington
authors.initials: W
authors.lastname: Mio
authors.forename: Yonggang
authors.initials: Y
authors.lastname: Shi
authors.forename: Ivo
authors.initials: I
authors.lastname: Dinov
authors.forename: Xiuwen
authors.initials: X
authors.lastname: Liu
authors.forename: Natasha
authors.initials: N
authors.lastname: Leporé
authors.forename: Franco
authors.initials: F
authors.lastname: Leporé
authors.forename: Madeleine
authors.initials: M
authors.lastname: Fortin
authors.forename: Patrice
authors.initials: P
authors.lastname: Voss
authors.forename: Maryse
authors.initials: M
authors.lastname: Lassonde
authors.forename: Paul M
authors.initials: PM
authors.lastname: Thompson
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006624:Hippocampus / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008953:Models, Anatomic; D008959:Models, Neurological; D010363:Pattern Recognition, Automated / Q000379:methods*; D012016:Reference Values; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity