Towards a semantic PACS: Using Semantic Web technology to represent imaging data

Johan Van Soest*, Tim Lustberg, Detlef Grittner, M Scott Marshall, Lucas Persoon, Bas Nijsten, Peter Feltens, Andre Dekker

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Web of Science)


The DICOM standard is ubiquitous within medicine. However, improved DICOM semantics would significantly enhance search operations. Furthermore, databases of current PACS systems are not flexible enough for the demands within image analysis research. In this paper, we investigated if we can use Semantic Web technology, to store and represent metadata of DICOM image files, as well as linking additional computational results to image metadata. Therefore, we developed a proof of concept containing two applications: one to store commonly used DICOM metadata in an RDF repository, and one to calculate imaging biomarkers based on DICOM images, and store the biomarker values in an RDF repository. This enabled us to search for all patients with a gross tumor volume calculated to be larger than 50 cc. We have shown that we can successfully store the DICOM metadata in an RDF repository and are refining our proof of concept with regards to volume naming, value representation, and the applications themselves.

Original languageEnglish
Pages (from-to)166-70
Number of pages5
JournalStudies in Health Technology and Informatics
Publication statusPublished - 2014


  • Humans
  • Image Interpretation, Computer-Assisted
  • Information Storage and Retrieval
  • Internet
  • Natural Language Processing
  • Neoplasms
  • Practice Guidelines as Topic
  • Radiology Information Systems
  • Semantics
  • Terminology as Topic
  • Tumor Burden

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