Collaborative computational anatomy: An MRI morphometry study of the human brain via diffeomorphic metric mapping

Michael I. Miller, Carey E. Priebe, Anqi Qiu, Bruce Fischl, Anthony Kolasny, Timothy Brown, Youngser Park, J. Tilak Ratnanather, Evelina Busa, Jorge Jovicich, Peng Yu, Bradford C. Dickerson, Randy L. Buckner

Research output: Contribution to journalArticlepeer-review

Abstract

This article describes a large multi-institutional analysis of the shape and structure of the human hippocampus in the aging brain as measured via MRI. The study was conducted on a population of 101 subjects including nondemented control subjects (n = 57) and subjects clinically diagnosed with Alzheimer's Disease (AD, n = 38) or semantic dementia (n = 6) with imaging data collected at Washington University in St. Louis, hippocampal structure annotated at the Massachusetts General Hospital, and anatomical shapes embedded into a metric shape space using large deformation diffeomorphic metric mapping (LDDMM) at the Johns Hopkins University. A global classifier was constructed for discriminating cohorts of nondemented and demented subjects based on linear discriminant analysis of dimensions derived from metric distances between anatomical shapes, demonstrating class conditional structure differences measured via LDDMM metric shape (P <0.01). Localized analysis of the control and AD subjects only on the coordinates of the population template demonstrates shape changes in the subiculum and the CA1 subfield in AD (P <0.05). Such large scale collaborative analysis of anatomical shapes has the potential to enhance the understanding of neurodevelopmental and neuropsychiatric disorders.

Original languageEnglish
Pages (from-to)2132-2141
Number of pages10
JournalHuman Brain Mapping
Volume30
Issue number7
DOIs
Publication statusPublished - Jul 2009

Keywords

  • Computational anatomy
  • Diffeomorphism
  • Shape

ASJC Scopus subject areas

  • Clinical Neurology
  • Anatomy
  • Neurology
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

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