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MRI image artifact ontology: A Proposed Method for Improved Recognition.
Lasbleiz J., Morelli J., Schnel N., Burgun A., Duvauferrier R., Saint-Jalmes H.
Studies in Health Technology and Informatics 180 (2012) 103-7 - http://www.hal.inserm.fr/inserm-00748002
(22874161)
MRI image artifact ontology: A Proposed Method for Improved Recognition.
Jeremy Lasbleiz1, John Morelli1, Nicolas Schnel2, Anita Burgun1, Régis Duvauferrier1, Hervé Saint-Jalmes3
1 :  Modélisation Conceptuelle des Connaissances Biomédicales
INSERM : U936 – Université de Rennes 1 – Biosit
France
2 :  INRIA - IRISA - SYMBIOSE
http://www.inria.fr/equipes/symbiose
CNRS : UMR6074 – INRIA – Institut National des Sciences Appliquées (INSA) - Rennes – Université de Rennes 1
Campus de Beaulieu 35042 Rennes cedex
France
3 :  LTSI - Laboratoire Traitement du Signal et de l'Image
http://www.ltsi.univ-rennes1.fr
INSERM : U1099 – Université de Rennes 1
Campus Universitaire de Beaulieu - Bât 22 - 35042 Rennes
France
METRIQ
Magnetic Resonance Imaging is an essential diagnostic imaging technique. The complexity of interpreting MRI images is often compounded by the presence of a wide range of artifacts which are often challenging to identify and eliminate. Ontology permits the construction of a knowledge database with which users can interact given an appropriate interface. The goal of this work is to create an interactive tool for the ontology of MRI artifacts that will allow a radiologist to compare any given MRI artifact image with those contained in the ontology. Material and method: Using Protégé 4, we have constructed the ontology with input from an expert in MRI artifacts and utilizing images exemplifying such artifacts. The graphical user interface has been built in Java and the linkage with the ontology made with Owl API. Results: Using the tool, users can compare imaging artifacts encountered in daily practice to those in the database. Once a user has identified the image the most similar to their own, they then have instantaneous access to the knowledge contained in the ontology about the artifact. Individual users can also submit images and have access to DICOM data.
Sciences du Vivant/Ingénierie biomédicale
Anglais
0926-9630

Articles dans des revues avec comité de lecture
10.3233/978-1-61499-101-4-103
Studies in Health Technology and Informatics (Stud Health Technol Inform)
Publisher IOS Press
ISSN 0926-9630 
internationale
2012
180
103-7