A multicentric IT platform for storage and sharing of imaging-based radiation dosimetric data
In: International Journal of Computer Assisted Radiology and Surgery International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2020, 15 (10), pp.1639-1643. ⟨10.1007/s11548-020-02179-y⟩ International Journal of Computer Assisted Radiology and Surgery, 2020, 15 (10), pp.1639-1643. ⟨10.1007/s11548-020-02179-y⟩; (2020)
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Zugriff:
International audience; Purpose The MEDIRAD project is about the effects of low radiation dose in the context of medical procedures. The goal of the work is to develop an informatics service that will provide the researchers of the MEDIRAD project with a platform to share acquired images, along with the associated dosimetric data pertaining to the radiation resulting from the procedure. Methods The authors designed a system architecture to manage image data and dosimetric data in an integrated way. DICOM and non-DICOM data are stored in separated repositories, and the link between the two is provided through a semantic database, i.e., a database whose information schema in aligned with an ontology. Results The system currently supports CT, PET, SPECT, and NM images as well as dose reports. Currently, two workflows for non-DICOM data generated from dosimetric calculations have been taken into account, one concerning Monte Carlo-based calculation of organ doses in Chest CT, and the other estimation of doses in nontarget organs in I-131 targeted radionuclide therapy of the thyroid. Conclusion The system is currently deployed, thus providing access to image and related dosimetric data to all MEDIRAD users. The software was designed in such a way that it can be reused to support similar needs in other projects.
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A multicentric IT platform for storage and sharing of imaging-based radiation dosimetric data
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Autor/in / Beteiligte Person: | Ratib, Osman ; Spaltenstein, Joël ; Pasquier, Gérôme ; Mildenberger, Peter ; Brenet, Marine ; Pasquier, Guillaume ; Gibaud, Bernard ; Nicolas van Dooren ; Roduit, Nicolas ; Swiss Institute of Bioinformatics [Genève] (SIB) ; University of Geneva [Switzerland] ; Laboratoire Traitement du Signal et de l'Image (LTSI) ; Université de Rennes 1 (UR1) ; Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM) ; Institut de Recherche Technologique b-com (IRT b-com) ; Johannes Gutenberg - Universität Mainz (JGU) ; Euratom research and training programme [755523] ; Foundation, OsiriX ; Université de Genève = University of Geneva (UNIGE) ; Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM) ; Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU) |
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Quelle: | International Journal of Computer Assisted Radiology and Surgery International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2020, 15 (10), pp.1639-1643. ⟨10.1007/s11548-020-02179-y⟩ International Journal of Computer Assisted Radiology and Surgery, 2020, 15 (10), pp.1639-1643. ⟨10.1007/s11548-020-02179-y⟩; (2020) |
Veröffentlichung: | HAL CCSD, 2020 |
Medientyp: | unknown |
ISSN: | 1861-6410 (print) ; 1861-6429 (print) |
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