AD ontological architecture for neuroimaging datawarehouse: merging and establishing anatomical normative data from 17 datasets
No single neuroimaging dataset is sufficiently large to provide a comprehensive understanding of the AD disease process, propose accurate diagnostic and prognostic, and evaluate response to therapy. Yet, federating databases remains an arduous task, as we cannot rely on any domain-specific interoperability framework. We propose an ontology-based strategy to alleviate this situation. We will use ontologies to merge 17 neuroimaging-centric datasets, process them identically, and establish population norms for anatomical structures and metabolic information. We will implement the system locally, and disseminate the ontology nationally and internationally.