ABSTRACT
Ontologies have become increasingly popular to structure knowledge and exchange information. In medicine, the main areas for the application of ontologies are the encoding of information with standardized terminologies and the use of formalized medical knowledge in expert systems for decision support. In medical imaging, the ever-growing number of imaging studies and digital data requires tools for comprehensive and effective information management. Ontologies provide humanand machine-readable information and bring the prospective of semantic data integration. As such, ontologies might enhance interoperability between systems and facilitate different tasks in the radiology department like patient management, structured reporting, decision support, and image retrieval.
