Longitudinally and inter-site consistent multi-atlas based parcellation of brain anatomy using harmonized atlases.

ABSTRACT: As longitudinal and multi-site studies become increasingly frequent in neuroimaging, maintaining longitudinal and inter-scanner consistency of brain parcellation has become a major challenge due to variation in scanner models and/or image acquisition protocols across scanners and sites. We present a new automated segmentation method specifically designed to achieve a consistent parcellation of anatomical brain structures in such heterogeneous datasets. Our method combines a site-specific atlas creation strategy with a state-of-the-art multi-atlas anatomical label fusion framework. Site-specific atlases are computed such that they preserve image intensity characteristics of each site's scanner and acquisition protocol, while atlas pairs share anatomical labels in a way consistent with inter

SUBMITTER: Erus G 

PROVIDER: S-EPMC5748021 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature