Paper
18 July 1999 Design of an ontology for medical image manipulation: an example applied for DICOM extensions
Florent Aubry, Virginie Chameroy, Andrew Todd-Pokropek, Robert Di Paola
Author Affiliations +
Abstract
Currently, various data formats are widely used for medical imags, e.g. DICOM for exchange through network and storage media, and INTERFILE for image exchange in nuclear medicine. These formats are only able partly to solve problems arising in accessing and handling imags. To solve such problems, an ontology dedicated to the description of data and knowledge involved in the handling and the management of medical images has been designed. The ontology offers a semantic frame of reference to which manipulation tools can refer. It considers various point of view on the data, related to the context of production, the content,and the data quality. It supports several levels of abstraction, going from a declarative level related to the examination type to the implementation level. Moreover, the ontology provides mechanisms allowing the creation and the description of new entities. It can, thus, act as an intermediate language ensuring accurate reuse of the entities. This paper, which presents work in progress, is focused on the description of the ontology and points out how to use it for the description of and the access to DICOM or INTERFILE entities, and for the extension of the DICOM or INTERFILE dictionaries, by adding new entities, in order to describe complex relationships between images.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Florent Aubry, Virginie Chameroy, Andrew Todd-Pokropek, and Robert Di Paola "Design of an ontology for medical image manipulation: an example applied for DICOM extensions", Proc. SPIE 3662, Medical Imaging 1999: PACS Design and Evaluation: Engineering and Clinical Issues, (18 July 1999); https://doi.org/10.1117/12.352779
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Cited by 1 scholarly publication.
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KEYWORDS
Medical imaging

Image processing

Chemical species

Associative arrays

Nuclear medicine

Databases

Image storage

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