title: Large deformation diffeomorphism and momentum based hippocampal shape discrimination in dementia of the Alzheimer type.
abstract: In large-deformation diffeomorphic metric mapping (LDDMM), the diffeomorphic matching of images are modeled as evolution in time, or a flow, of an associated smooth velocity vector field v controlling the evolution. The initial momentum parameterizes the whole geodesic and encodes the shape and form of the target image. Thus, methods such as principal component analysis (PCA) of the initial momentum leads to analysis of anatomical shape and form in target images without being restricted to small-deformation assumption in the analysis of linear displacements. We apply this approach to a study of dementia of the Alzheimer type (DAT). The left hippocampus in the DAT group shows significant shape abnormality while the right hippocampus shows similar pattern of abnormality. Further, PCA of the initial momentum leads to correct classification of 12 out of 18 DAT subjects and 22 out of 26 control subjects.
authors.affiliation: Department of Psychiatry, Washington University School of Medicine, Campus Box 8134, 660 S. Euclid Ave, St. Louis, MO 63110, USA. lei@wustl.edu
authors.forename: Lei
authors.initials: L
authors.lastname: Wang
authors.forename: Faisal
authors.initials: F
authors.lastname: Beg
authors.forename: Tilak
authors.initials: T
authors.lastname: Ratnanather
authors.forename: Can
authors.initials: C
authors.lastname: Ceritoglu
authors.forename: Laurent
authors.initials: L
authors.lastname: Younes
authors.forename: John C
authors.initials: JC
authors.lastname: Morris
authors.forename: John G
authors.initials: JG
authors.lastname: Csernansky
authors.forename: Michael I
authors.initials: MI
authors.lastname: Miller
mesh_terms: D000465:Algorithms; D000544:Alzheimer Disease / Q000175:diagnosis*; D001185:Artificial Intelligence; D003704:Dementia / Q000175:diagnosis; D016002:Discriminant Analysis; D006624:Hippocampus / Q000473:pathology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity