A Robust Image Registration Interface for Large Volume Brain Atlas.

ABSTRACT: Accurately mapping brain structures in three-dimensions is critical for an in-depth understanding of brain functions. Using the brain atlas as a hub, mapping detected datasets into a standard brain space enables efficient use of various datasets. However, because of the heterogeneous and nonuniform brain structure characteristics at the cellular level introduced by recently developed high-resolution whole-brain microscopy techniques, it is difficult to apply a single standard to robust registration of various large-volume datasets. In this study, we propose a robust Brain Spatial Mapping Interface (BrainsMapi) to address the registration of large-volume datasets by introducing extracted anatomically invariant regional features and a large-volume data transformation method. By performing va

SUBMITTER: Ni H 

PROVIDER: S-EPMC7005806 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature