standards > terminology artifact > DOI:10.25504/FAIRsharing.emw6am
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ready Magnetic Resonance Dataset Acquisition Ontology

Abbreviation: ONL-MR-DA

General Information
The OntoNeuroLOG Magnetic Resonance Dataset Acquisition (ONL-MR-DA) ontology is one of the modules in the OntoNeuroLOG ontology version 3.0, developed in the context of the NeuroLOG project., a French project supported by ANR (ANR-06-TLOG-024 grant) aiming at integrating distributed heterogeneous resources in neuroimaging. DOLCE was used as the upper-level ontology for each of the modules within this ontology. This ontology covers the domain of Magnetic Resonance Imaging (MRI) dataset acquisition, i.e. MRI protocols, and MRI sequence parameters. In particular, it includes a multi-axial classification of MR sequences. The project and its funding has been completed, and the last release (3.0) as of 2013 is expected to be the final one. However, it continues to be available for use.


Countries that developed this resource France

Created in 2013

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How to cite this record ONL-MR-DA; Magnetic Resonance Dataset Acquisition Ontology; DOI:; Last edited: March 2, 2020, 11:26 a.m.; Last accessed: Jan 18 2022 7:22 a.m.

Record added: Oct. 24, 2017, 9:41 a.m.
Record updated: March 2, 2020, 11:26 a.m. by The FAIRsharing Team.

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

Temal L,Dojat M,Kassel G,Gibaud B
J Biomed Inform 2008

View Paper (PubMed) View Publication

ONL-MR-DA Ontology Display

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Grant Number(s)

  • ANR-06-TLOG-024 (National Agency of Research (ANR), Paris, France)