Fully-automated, multi-stage hippocampus mapping in very mild Alzheimer disease

Lei Wang*, Ali Khan, John G. Csernansky, Bruce Fischl, Michael I. Miller, John C. Morris, M. Faisal Beg

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


Landmark-based high-dimensional diffeomorphic maps of the hippocampus (although accurate) is highly-dependent on rater's anatomic knowledge of the hippocampus in the magnetic resonance images. It is therefore vulnerable to rater drift and errors if substantial amount of effort is not spent on quality assurance, training, and re-training. A fully-automated, FreeSurfer-initialized large-deformation diffeomorphic metric mapping procedure of small brain substructures, including the hippocampus, has been previously developed and validated in small samples. In this report, we demonstrate that this fully-automated pipeline can be used in place of the landmark-based procedure in a large-sample clinical study to produce similar statistical outcomes. Some direct comparisons of the two procedures are also presented.

Original languageEnglish (US)
Pages (from-to)541-548
Number of pages8
Issue number6
StatePublished - Jun 2009


  • Automated segmentation
  • Computational anatomy
  • FreeSurfer
  • MR imaging

ASJC Scopus subject areas

  • Cognitive Neuroscience


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