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Article Dans Une Revue Amia ... Annual Symposium Proceedings. Amia Symposium Année : 2020

A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging

Résumé

Medical ionizing radiation procedures and especially medical imaging are a non negligible source of exposure to patients. Whereas the biological effects of high absorbed doses are relatively well known, the effects of low absorbed doses are still debated. This work presents the development of a computer platform called Image and Radiation Dose BioBank (IRDBB) to manage research data produced in the context of the MEDIRAD project, a European project focusing on research on low doses in the context of medical procedures. More precisely, the paper describes a semantic database linking dosimetric data (such as absorbed doses to organs) to the images corresponding to X-rays exposure (such as CT images) or scintigraphic images (such as SPECT or PET images) that allow measuring the distribution of a radiopharmaceutical. The main contributions of this work are: 1) the implementation of the semantic database of the IRDBB system and 2) an ontology called OntoMEDIRAD covering the domain of discourse involved in MEDIRAD research data, especially many concepts from the DICOM standard modelled according to a realist approach.
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Dates et versions

hal-03222690 , version 1 (10-05-2021)

Identifiants

  • HAL Id : hal-03222690 , version 1
  • PUBMED : 33936422

Citer

Bernard Gibaud, Marine Brenet, Guillaume Pasquier, Alex Vergara Gil, Manuel Bardiès, et al.. A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging. Amia .. Annual Symposium Proceedings. Amia Symposium, 2020, 2020, pp.492-501. ⟨hal-03222690⟩
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