title: A semantically-aided approach for online annotation and retrieval of medical images.
abstract: The need for annotating the continuously increasing volume of medical image data is recognized from medical experts for a variety of purposes, regardless if this is medical practice, research or education. The rich information content latent in medical images can be made explicit and formal with the use of well-defined ontologies. Evolution of the Semantic Web now offers a unique opportunity of a web-based, service-oriented approach. Remote access to FMA and ICD-10 reference ontologies provides the ontological annotation framework. The proposed system utilizes this infrastructure to provide a customizable and robust annotation procedure. It also provides an intelligent search mechanism indicating the advantages of semantic over keyword search. The common representation layer discussed facilitates interoperability between institutions and systems, while semantic content enables inference and knowledge integration.
authors.affiliation: Biomedical Simulations and Imaging Laboratory, School of Electrical and Computer Enginnering, National Technological University of Athens, Iroon Polytechniou 9, Athens 15780, Greece
authors.forename: George K
authors.initials: GK
authors.lastname: Kyriazos
authors.forename: Ilias Th
authors.initials: IT
authors.lastname: Gerostathopoulos
authors.forename: Vassileios D
authors.initials: VD
authors.lastname: Kolias
authors.forename: John S
authors.initials: JS
authors.lastname: Stoitsis
authors.forename: Konstantina S
authors.initials: KS
authors.lastname: Nikita
mesh_terms: D004282:Documentation / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D009323:Natural Language Processing; D009862:Online Systems; D011873:Radiology Information Systems; D012660:Semantics