A multicentric IT platform for storage and sharing of imaging-based radiation dosimetric data
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SHORT COMMUNICATION
A multicentric IT platform for storage and sharing of imaging-based radiation dosimetric data Joël Spaltenstein1 · Nicolas van Dooren2 · Gérôme Pasquier1 · Nicolas Roduit3 · Marine Brenet4 · Guillaume Pasquier5 · Bernard Gibaud4 · Peter Mildenberger6 · Osman Ratib2 Received: 13 January 2020 / Accepted: 21 April 2020 © CARS 2020
Abstract 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 131 I 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. Keywords Radiation protection · Imaging biobank · DICOM · Semantic web
Context The exposure to ionizing radiation caused by medical imaging is non-negligible. In France, for example, the average annual ‘medical’ exposure is estimated to be 1.6 mSv, which represents 35% of the estimated 4.5 mSv average annual exposure. It is therefore imperative, from a public health perspective, to minimize this exposure and to have a better understanding of its biological effects. The MEDI-
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Joël Spaltenstein [email protected]
1
Swiss Institute of Bioinformatics, Geneva, Switzerland
2
Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
3
University Hospital of Geneva, Geneva, Switzerland
4
Universite de Rennes 1, Inserm, Rennes, France
5
Institute of Research and Technology bcom, Rennes, France
6
Johannes Gutenberg-Universität Mainz, Mainz, Germany
RAD1 project, funded by the EURATOM2 program, targets multiple factors relevant to low-dose radiation caused by medical imaging modalities using an approach that combines many foundational aspects of imaging (physics, biology, epidemiology, image quality). This project includes several experimental tasks during which images will be acquired using different radiological and nuclear medicine modalities, and for which the absorbed radiation doses will be subsequently calculated using several methods. The goal o
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