Abstract
We present an application for semantic annotation and retrieval of
medical images. It leverages the MEDICO ontology which covers formal
background information from various biomedical ontologies such as
the Foundational Model of Anatomy (FMA), terminologies like ICD-10
and RadLex and also includes various aspects of clinical procedures.
By annotating available data semantically our system gains a number
of features not available in existing keyword-based search engines.
Search can be performed independent of the modality. Thus, x-ray
images, Computed Tomography 3D volume data sets and medical records
in text format can be searched for the same medical concepts in a
unified manner. The work presented here focuses on our approach for
an incremental generation of semantic queries. Our technique does
not require prior knowledge about structure and available concepts
in the ontology. Instead, it allows the user to construct complex
queries by exploring the formal background knowledge from the ontologies
and to create queries using formal concepts. In this context we also
present our
approach for the mapping of RadLex and FMA. It allows to combine the
rich semantic modeling of the FMA for query expansion with the lightweight
radiology-oriented RadLex hierarchy for the user interface.
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