title: An automatic method for the enrichment of DICOM metadata using biomedical ontologies.
abstract: This work is a novel contribution for enriching medical images using semantic annotations with a strategy for unifying different ontologies and instances of DICOM medical files. We present the L-MOM library (Library for Mapping of Ontological Metadata) as a tool for making an automatic mapping between instances of DICOM medical files and different medical ontologies (e.g., FMA, RadLex, MeSH). The main contributions are: i) the domain independent L-MOM library which is able to integrate DICOM metadata with ontologies from different domains; ii) a strategy to automatically annotate DICOM data with universally accepted medical ontologies, and provide values of similarity between ontologies and DICOM metadata; and iii) a framework to traverse ontological concepts that characterized clinical studies of patients registered in the framework catalog.
authors.forename: Wilson
authors.initials: W
authors.lastname: Perez
authors.forename: Andres
authors.initials: A
authors.lastname: Tello
authors.forename: Victor
authors.initials: V
authors.lastname: Saquicela
authors.forename: Maria-Esther
authors.initials: ME
authors.lastname: Vidal
authors.forename: Alexandra
authors.initials: A
authors.lastname: La Cruz
mesh_terms: D064229:Biological Ontologies; D016208:Databases, Factual; D006801:Humans; D012660:Semantics