Towards an ontology for sharing medical images and regions of interest in neuroimaging.
Identifieur interne : 000854 ( Ncbi/Curation ); précédent : 000853; suivant : 000855Towards an ontology for sharing medical images and regions of interest in neuroimaging.
Auteurs : Lynda Temal [France] ; Michel Dojat ; Gilles Kassel ; Bernard GibaudSource :
- Journal of biomedical informatics [ 1532-0480 ] ; 2008.
English descriptors
- KwdEn :
- Artificial Intelligence, Diagnostic Imaging (methods), Humans, Image Processing, Computer-Assisted (methods), Information Dissemination (methods), Information Storage and Retrieval (methods), Internet (organization & administration), Models, Organizational, Neurosciences (methods), Parkinson Disease (diagnostic imaging), Radionuclide Imaging, Systems Integration, Telemedicine (methods), Vocabulary, Controlled.
- MESH :
- diagnostic imaging : Parkinson Disease.
- methods : Diagnostic Imaging, Image Processing, Computer-Assisted, Information Dissemination, Information Storage and Retrieval, Neurosciences, Telemedicine.
- organization & administration : Internet.
- Artificial Intelligence, Humans, Models, Organizational, Radionuclide Imaging, Systems Integration, Vocabulary, Controlled.
Abstract
The goal of the NeuroBase project is to facilitate collaborative research in neuroimaging through a federated system based on semantic web technologies. The cornerstone and focus of this paper is the design of a common semantic model providing a unified view on all data and tools to be shared. For this purpose, we built a multi-layered and multi-components formal ontology. This paper presents two major contributions. The first is related to the general methodology we propose for building an application ontology based on consistent conceptualization choices provided by the DOLCE foundational ontology and core ontologies of domains that we reuse; the second concerns the domain ontology we designed for neuroimaging, which encompasses both the objective nature of image data and the subjective nature of image content, through annotations based on regions of interest made by agents (humans or computer programs). We report on realistic domain use-case queries referring to our application ontology.
DOI: 10.1016/j.jbi.2008.03.002
PubMed: 18440282
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pubmed:18440282Le document en format XML
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The cornerstone and focus of this paper is the design of a common semantic model providing a unified view on all data and tools to be shared. For this purpose, we built a multi-layered and multi-components formal ontology. This paper presents two major contributions. The first is related to the general methodology we propose for building an application ontology based on consistent conceptualization choices provided by the DOLCE foundational ontology and core ontologies of domains that we reuse; the second concerns the domain ontology we designed for neuroimaging, which encompasses both the objective nature of image data and the subjective nature of image content, through annotations based on regions of interest made by agents (humans or computer programs). We report on realistic domain use-case queries referring to our application ontology.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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