OntoVIP: An ontology for the annotation of object models used for medical image simulation.

Bernard Gibaud; Germain Forestier; Hugues Benoit-Cattin; Frédéric Cervenansky; Patrick Clarysse; Denis Friboulet; Alban Gaignard; Patrick Hugonnard; Carole Lartizien; Hervé Liebgott; Johan Montagnat; Joachim Tabary; Tristan Glatard

OntoVIP: An ontology for the annotation of object models used for medical image simulation.

Bernard Gibaud ^{1, *} Germain Forestier ² Hugues Benoit-Cattin ³ Frédéric Cervenansky ⁴ Patrick Clarysse ⁵ Denis Friboulet ³ Alban Gaignard ⁶ Patrick Hugonnard ⁷ Carole Lartizien ³ Hervé Liebgott ⁸ Johan Montagnat ⁶ Joachim Tabary ⁷ Tristan Glatard ³

* Corresponding author

1 LTSI - Laboratoire Traitement du Signal et de l'Image

2 MIPS - Modélisation, Intelligence, Processus et Système

3 Images et Modèles

CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé

4 Service Informatique et développements

CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé

5 MOTIVATE - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales

CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé : 139739

6 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS

Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems

7 CEA-LETI - Laboratoire d'Electronique et des Technologies de l'Information

8 Imagerie Ultrasonore

CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé

Abstract : This paper describes the creation of a comprehensive conceptualization of object models used in medical image simulation, suitable for major imaging modalities and simulators. The goal is to create an application ontology that can be used to annotate the models in a repository integrated in the Virtual Imaging Platform (VIP), to facilitate their sharing and reuse. Annotations make the anatomical, physiological and pathophysiological content of the object models explicit. In such an interdisciplinary context we chose to rely on a common integration framework provided by a foundational ontology, that facilitates the consistent integration of the various modules extracted from several existing ontologies, i.e. FMA, PATO, MPATH, RadLex and ChEBI. Emphasis is put on methodology for achieving this extraction and integration. The most salient aspects of the ontology are presented, especially the organization in model layers, as well as its use to browse and query the model repository.

Keywords : medical imaging semantic web ontology web language ontologies Simulation

Document type :

Journal articles

Domain :

Life Sciences [q-bio] / Bioengineering

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https://www.hal.inserm.fr/inserm-01062371
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Submitted on : Tuesday, September 9, 2014 - 4:41:43 PM
Last modification on : Wednesday, April 3, 2019 - 2:07:39 AM
Long-term archiving on : Wednesday, December 10, 2014 - 2:10:15 PM

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