OntoVIP: an Ontology for the Annotation of Object Models Used for Medical Image Simulation

Overview

Journal J Biomed Inform

Publisher Elsevier

Specialty Medical Informatics

Date 2014 Jul 20

PMID 25038553

Citations 4

Authors

Bernard Gibaud

Germain Forestier

Hugues Benoit-Cattin

Frederic Cervenansky

Patrick Clarysse

Denis Friboulet

Alban Gaignard

Patrick Hugonnard

Carole Lartizien

Herve Liebgott

Johan Montagnat

Joachim Tabary

Tristan Glatard

Affiliations

Soon will be listed here.

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.

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