Title
Semantic Description of Liver CT Images: An Ontological Approach
Abstract
Radiologists inspect CT scans and record their observations in reports to communicate with physicians. These reports may suffer from ambiguous language and inconsistencies resulting from subjective reporting styles, which present challenges in interpretation. Standardization efforts, such as the lexicon RadLex for radiology terms, aim to address this issue by developing standard vocabularies. While such vocabularies handle consistent annotation, they fall short in sufficiently processing reports for intelligent applications. To support such applications, the semantics of the concepts as well as their relationships must be modeled, for which, ontologies are effective. They enable the software to make inferences beyond what is present in the reports. This paper presents the open-source ontology ONLIRA (Ontology of the Liver for Radiology), which is developed to support such intelligent applications, such as identifying and ranking similar liver patient cases. ONLIRA is introduced in terms of its concepts, properties, and relations. Examples of real liver patient cases are provided for illustration purposes. The ontology is evaluated in terms of its ability to express real liver patient cases and address semantic queries.
Year
DOI
Venue
2014
10.1109/JBHI.2014.2298880
Biomedical and Health Informatics, IEEE Journal of
Keywords
Field
DocType
computerised tomography,liver,medical image processing,ontologies (artificial intelligence),radiology,standardisation,CT scans,lexicon RadLex,liver CT imaging,ontological approach,open-source ontology ONLIRA,radiology terms,semantic queries,standard vocabularies,standardization efforts,Liver,ontology,radiology
Ontology (information science),Ontology,Annotation,Information retrieval,Ranking,Computer science,Lexicon,Ambiguous grammar,Standardization,Semantics
Journal
Volume
Issue
ISSN
18
4
2168-2194
Citations 
PageRank 
References 
10
1.21
8
Authors
4
Name
Order
Citations
PageRank
Kökciyan, N.1101.21
Türkay, R.2101.21
Üsküdarli, S.3101.21
Yolum, P.4101.21