Large deformation diffeomorphism and momentum based hippocampal shape discrimination in dementia of the alzheimer type

Lei Wang*, Faisal Beg, Tilak Ratnanather, Can Ceritpglu, Laurent Younes, John C. Morris, John G. Csernansky, Michael I. Miller

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

108 Scopus citations

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 (FCÄ) of the initial momentum leads to analysis of anatomical shape and form in target images without being restricted to smalldeformation 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.

Original languageEnglish (US)
Pages (from-to)462-470
Number of pages9
JournalIEEE Transactions on Medical Imaging
Volume26
Issue number4
DOIs
StatePublished - Apr 2007

Keywords

  • Alzheimer's disease
  • Geodesic
  • LDDMM
  • Momentum
  • PCA

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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