Towards an ontology for sharing medical images and regions of interest in neuroimaging.
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 t...
| Publicado en: | Journal of Biomedical Informatics Vol. 41; no. 5; pp. 766 - 779 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Oct2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105561195&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105561195 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15320464 OMB jtl: Journal of Biomedical Informatics issn: 15320464 maglogo: N pubinfo: dt: Oct2008 vid: 41 iid: 5 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 105561195 NLM18440282 2010070162 10.1016/j.jbi.2008.03.002 NLM18440282 105561195 ppf: 766 ppct: 13 formats: tig: atl: Towards an ontology for sharing medical images and regions of interest in neuroimaging. aug: au: Temal L Dojat M Kassel G Gibaud B Temal, Lynda Dojat, Michel Kassel, Gilles Gibaud, Bernard affil: INRIA, VisAGes Project-Team, F-35042 Rennes, France sug: subj: Communication Methods Diagnostic Imaging Methods Management Neurosciences Methods Systems Integration Artificial Intelligence Image Processing, Computer Assisted Methods Information Retrieval Methods Internet Administration Parkinson Disease Radiography Telemedicine Methods Vocabulary, Controlled Human ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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