A multicentric IT platform for storage and sharing of imaging-based radiation dosimetric data



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.


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.


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 131I targeted radionuclide therapy of the thyroid.


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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  1. 1.

    European Society of Radiology (2015) ESR position paper on imaging biobanks. Insights into Imaging 6:403–410. https://doi.org/10.1007/s13244-015-0409-x

    Article  Google Scholar 

  2. 2.

    Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, Blomberg N, Boiten J-W, Santos LBDS, Bourne PE, Bouwman J, Brookes AJ, Clark T, Crosas M, Dillo I, Dumon O, Edmunds S, Evelo CT, Finkers R, Gonzalez-Beltran A, Gray AJ, Groth P, Goble C, Grethe JS, Heringa J, Hoen PAT, Hooft R, Kuhn T, Kok R, Kok J, Lusher SJ, Martone ME, Mons A, Packer AL, Persson B, Rocca-Serra P, Roos M, Schaik RV, Sansone S-A, Schultes E, Sengstag T, Slater T, Strawn G, Swertz MA, Thompson M, Lei JVD, Mulligen EV, Velterop J, Waagmeester A, Wittenburg P, Wolstencroft K, Zhao J, Mons B (2016) The FAIR guiding principles for scientific data management and stewardship. Sci Data. https://doi.org/10.1038/sdata.2016.18

    Article  PubMed  PubMed Central  Google Scholar 

Download references


This work received support from the European Commission (EURATOM NFRP-2016-2017): MEDIRAD Project, Grant Agreement No 755523).


This project has received funding from the Euratom research and training programme 2014–2018 under Grant Agreement No 755523. This project has received funding from the OsiriX Foundation.

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Correspondence to Joël Spaltenstein.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Spaltenstein, J., van Dooren, N., Pasquier, G. et al. A multicentric IT platform for storage and sharing of imaging-based radiation dosimetric data. Int J CARS 15, 1639–1643 (2020). https://doi.org/10.1007/s11548-020-02179-y

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  • Radiation protection
  • Imaging biobank
  • Semantic web