Evaluation of group-specific, whole-brain atlas generation using Volume-based Template Estimation (VTE): Application to normal and Alzheimer's populations

Yajing Zhang, Jiangyang Zhang, Johnny Hsu, Kenichi Oishi, Andreia V. Faria, Marilyn Albert, Michael I. Miller, Susumu Mori

Research output: Contribution to journalArticle

Abstract

MRI-based human brain atlases, which serve as a common coordinate system for image analysis, play an increasingly important role in our understanding of brain anatomy, image registration, and segmentation. Study-specific brain atlases are often obtained from one of the subjects in a study or by averaging the images of all participants after linear or non-linear registration. The latter approach has the advantage of providing an unbiased anatomical representation of the study population. But, the image contrast is influenced by both inherent MR contrasts and residual anatomical variability after the registration; in addition, the topology of the brain structures cannot reliably be preserved. In this study, we demonstrated a population-based template-creation approach, which is based on Bayesian template estimation on a diffeomorphic random orbit model. This approach attempts to define a population-representative template without the cross-subject intensity averaging; thus, the topology of the brain structures is preserved. It has been tested for segmented brain structures, such as the hippocampus, but its validity on whole-brain MR images has not been examined. This paper validates and evaluates this atlas generation approach, i.e., Volume-based Template Estimation (VTE). Using datasets from normal subjects and Alzheimer's patients, quantitative measurements of sub-cortical structural volumes, metric distance, displacement vector, and Jacobian were examined to validate the group-averaged shape features of the VTE. In addition to the volume-based quantitative analysis, the preserved brain topology of the VTE allows surface-based analysis within the same atlas framework. This property was demonstrated by analyzing the registration accuracy of the pre- and post-central gyri. The proposed method achieved registration accuracy within 1. mm for these population-preserved cortical structures in an elderly population.

Original languageEnglish (US)
Pages (from-to)406-419
Number of pages14
JournalNeuroImage
Volume84
DOIs
StatePublished - Jan 1 2014

Keywords

  • MRI
  • Study-specific atlas
  • Volume-based Template Estimation (VTE)
  • Volume-surface analysis

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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