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members:bernard.gibaud:medirad-page [2020/11/16 14:50]
gibaud
members:bernard.gibaud:medirad-page [2020/11/18 09:18] (current)
gibaud
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   * a component called **Semantic Translator**,​ providing a set of services to populate and query the semantic database   * a component called **Semantic Translator**,​ providing a set of services to populate and query the semantic database
   * a STARDOG Triple Store, supporting the semantic database   * a STARDOG Triple Store, supporting the semantic database
-  * a component called **Sparklis** Portal, extending the IRDBB_UI to assist the users in building SPARQL queries+  * a component called **SPARKLIS** Portal, extending the IRDBB_UI to assist the users in building SPARQL queries
   * a component called **Keycloak**,​ also provided by ITMI and b<>​com providing a Single Sign-On mechanism for access control.   * a component called **Keycloak**,​ also provided by ITMI and b<>​com providing a Single Sign-On mechanism for access control.
  
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 The Semantic database is an RDF graph containing RDF assertions that document the nature and provenance of all the data shared in the MEDIRAD IRDBB repository, i.e. DICOM or non-DICOM data. The Semantic database is an RDF graph containing RDF assertions that document the nature and provenance of all the data shared in the MEDIRAD IRDBB repository, i.e. DICOM or non-DICOM data.
 +
 The DICOM data concern: The DICOM data concern:
   * image data such as CT images, that correspond directly to irradiation events   * image data such as CT images, that correspond directly to irradiation events
   * image data such as SPECT or PET images, that may either correspond to irradiation events (due to the injection of a radiopharmaceutical) with some diagnostic goal, or correspond to a strategy to estimate the biodistribution of the radiopharmaceutical used in an internal radiotherapy (e.g. 131Iodine treatment of thyroïd cancer)   * image data such as SPECT or PET images, that may either correspond to irradiation events (due to the injection of a radiopharmaceutical) with some diagnostic goal, or correspond to a strategy to estimate the biodistribution of the radiopharmaceutical used in an internal radiotherapy (e.g. 131Iodine treatment of thyroïd cancer)
   * structured reports such as CT Radiation Dose Structured Reports   * structured reports such as CT Radiation Dose Structured Reports
-  * other structured reports, e.g. implementing e-CRF documenting the internal radiotherapy treatments in WP3+  * other structured reports, e.g. implementing e-CRF documenting the internal radiotherapy treatments in WP3.
  
-The non-DICOM data concern ​e.g.:+The non-DICOM data concern ​principally:
   * voxelized dose maps calculated by Monte Carlo simulation   * voxelized dose maps calculated by Monte Carlo simulation
   * segmentation of organs and tissues of interest.   * segmentation of organs and tissues of interest.
  
-The Semantic database is populated by the Semantic Translator, ​when the data files are imported ​into the IRDBB system. +The Semantic database is populated by the Semantic Translator, ​this processing is completed during the importation of the data files into the IRDBB system. 
-It is supported by the Stardog Triple store.+The Semantic database ​is supported by the [[https://​www.stardog.com/​|Stardog Triple store]].
  
-The Semantic database can be queried ​though ​the IRDBB_UI web interface. Two ways are proposed: +The Semantic database can be queried ​through ​the IRDBB_UI web interface. Two ways are proposed: 
-  * use of predefined SPARQL queries +  * using predefined SPARQL queries 
-  * use of the [[http://​www.irisa.fr/​LIS/​ferre/​sparklis/​osparklis.html|SPARKLIS tool]], a tool allowing the end-users to freely navigate in the RDF graph and build their own SPARQL queries. This tool was provided by [[http://​people.irisa.fr/​Sebastien.Ferre/​|Sébastien Ferré]] (University of Rennes 1).+  * using the Sparklis tool, a tool allowing the end-users to freely navigate in the RDF graph and build their own SPARQL queries. The [[http://​www.irisa.fr/​LIS/​ferre/​sparklis/​osparklis.html|SPARKLIS tool]] was provided ​free of charge ​by [[http://​people.irisa.fr/​Sebastien.Ferre/​|Sébastien Ferré]] (University of Rennes 1).
  
  
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 The main services concern the creation of the RDF assertions describing the nature and provenance of the DICOM and non-DICOM data, and the management of predefined SPARQL queries. The main services concern the creation of the RDF assertions describing the nature and provenance of the DICOM and non-DICOM data, and the management of predefined SPARQL queries.
 For DICOM data, the Semantic translator translates into RDF the key DICOM metadata. For non-DICOM data, the relevant provenance metadata are provided in an XML file (non-DICOM File set descriptor) that is part of the non-DICOM File set to be imported. For DICOM data, the Semantic translator translates into RDF the key DICOM metadata. For non-DICOM data, the relevant provenance metadata are provided in an XML file (non-DICOM File set descriptor) that is part of the non-DICOM File set to be imported.
-A more detailed documentation of the Semantic translator is available in xx. +
-The domain covered by the predefined SPARQL queries is described in yy.+
  
  
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   * Osman Ratib, ITMI, Genève   * Osman Ratib, ITMI, Genève
  
-==== Other collaborators ​in the development of IRDBB ====+==== Other collaborators ​ ====
  
   * John Stratakis, University of Crete   * John Stratakis, University of Crete
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 ====== Technical reports ====== ====== Technical reports ======
  
-  - Documentation of the ontology of the IRDBB semantic repository, Version 1.3, MEDIRAD Technical report, MS8 Milestone, 2020. +  - Documentation of the ontology of the IRDBB semantic repository, Version 1.3, MEDIRAD Technical report, MS8 Milestone, 2020. {{:​members:​bernard.gibaud:​mediraddocumentation-of-ontologyv1.3.pdf|pdf}} 
-  - Documentation of the Semantic Translator software, Version 1, MEDIRAD Technical report, 2020. +  - Documentation of the Semantic Translator software, Version 1, MEDIRAD Technical report, 2020. {{:​members:​bernard.gibaud:​mediraddocumentation-of-ontologyv1.3.pdf|pdf}} 
-  - Documentation of predefined SPARQL queries, Version 1, MEDIRAD Technical report, 2020.+  - Documentation of predefined SPARQL queries, Version 1, MEDIRAD Technical report, 2020. {{:​members:​bernard.gibaud:​mediradocumentation-of-predefined-queriesv1.0.pdf|pdf}} 
  
  
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 ====== Publications ====== ====== Publications ======
-  - Spaltenstein J, Roduit N, van Dooren N, Pasquier G, Brenet M, Gibaud B, Pasquier G, Mildenberger P and Ratib O. A multicentric IT platform for storage and sharing of imaging-based radiation dosimetric data. CARS 2020 Munich (Germany). +  - Spaltenstein J, Roduit N, van Dooren N, Pasquier G, Brenet M, Gibaud B, Pasquier G, Mildenberger P and Ratib O. A multicentric IT platform for storage and sharing of imaging-based radiation dosimetric data. CARS 2020 Munich (Germany).[[https://​link.springer.com/​article/​10.1007/​s11548-020-02179-y|paper]] 
-  - Gibaud B, Brenet M, Pasquier G, Vergara Gil A, Bardiès M, Stratakis J, Damilakis J, van Dooren N, Spaltenstein J, and Ratib O. A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging. American Medical Informatics Association (AMIA) Conference, November 2020, Chicago (USA).+  - Gibaud B, Brenet M, Pasquier G, Vergara Gil A, Bardiès M, Stratakis J, Damilakis J, van Dooren N, Spaltenstein J, and Ratib O. A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging. American Medical Informatics Association (AMIA) Conference, November 2020, Chicago (USA), 492-501. {{:​members:​bernard.gibaud:​AMIA-medirad-final.pdf|paper}} {{:​members:​bernard.gibaud:​s71-bgibaudamia2020.pdf|slides}}
  
 ====== Funding ====== ====== Funding ======
inserm rennes1 ltsi