Towards an ontology for sharing medical images and regions of interest in neuroimaging

  • Authors:

  • Lynda Temal;Michel Dojat;Gilles Kassel;Bernard Gibaud

  • Affiliations:

  • INRIA, VisAGes Project-Team, F-35042 Rennes, France and INSERM, U746, F-35042 Rennes, France and University of Rennes 1, CNRS, UMR 6074, IRISA, F-35042 Rennes, France;INSERM, U836, Grenoble, F-38043, France and Joseph Fourier University, Institute of Neurosciences, Grenoble, F-38043, France;LaRIA, CNRS (FRE 2733) and Jules Verne University of Picardie, Amiens, F-80039, France;INRIA, VisAGes Project-Team, F-35042 Rennes, France and INSERM, U746, F-35042 Rennes, France and University of Rennes 1, CNRS, UMR 6074, IRISA, F-35042 Rennes, France

  • Venue:
  • Journal of Biomedical Informatics
  • Year:
  • 2008

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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.