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Magnetic Resonance Dataset Acquisition Ontology
Last uploaded:
July 9, 2013
| Acronym | ONL-MR-DA |
| Visibility | Public |
| Description | This ontology is a module of the OntoNeuroLOG ontology, 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. If 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. |
| Status | Production |
| Format | OWL |
| Contact | Bernard Gibaud, bernard.gibaud@univ-rennes1.fr |
| Categories | Imaging |
No views of ONL-MR-DA available
| Classes | 702 |
| Individuals | 42 |
| Properties | 244 |
| Maximum depth | 6 |
| Maximum number of children | 38 |
| Average number of children | 3 |
| Classes with a single child | 75 |
| Classes with more than 25 children | 1 |
| Classes with no definition | 425 |