Advertisement

Ontology Usability Via a Visualization Tool for the Semantic Indexing of Medical Reports (DICOM SR)

  • Sonia Mhiri
  • Sylvie Despres
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4799)

Abstract

One purpose of our research works is a contribution to a semantic indexing of structured reports in accordance with the DICOM SR standard and we propose to guide this process with an ontology. In this paper, we describe our motivations for building this ontology according to a modularization approach assisted by the reuse of existing ontologies. Moreover, a prototype of a bilingual visualization tool is suggested. It allows specialists during their semantic indexing to load and visualize ontologies or modules from an ontology in a multi-axial way. Currently, six axes are planned: patient context, anatomy, pathology, visual descriptor, technique and recommendation.

Keywords

DICOM SR Visualization Tool Semantic indexing Ontologies 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Hussein, R., Engelmann, U., Schroeter, A., Meinzer, H.P.: DICOM Structured Reporting: Part 1. Overview and characteristics. Radiographics 24(3), 891–896 (2004)CrossRefGoogle Scholar
  2. 2.
    Hussein, R., Engelmann, U., Schroeter, A., Meinzer, H.P.: DICOM Structured Reporting: Part 2. Problems and Challenges in Implementation for PACS Workstations. Radiographics 24(3), 897–909 (2004)CrossRefGoogle Scholar
  3. 3.
    Clunie, D.: DICOM structured reporting. PixelMed, Bangor, Pa (2000)Google Scholar
  4. 4.
    Csipo, D., Dayhoff, R., Kuzmak, M.: Integrating Digital Imaging and Communications in Medicine (DICOM)-structured reporting into the hospital environment. Journal of Digital Imaging 14, 12–16 (2001)CrossRefGoogle Scholar
  5. 5.
    Eichelberg, M., Riesmeier, J., Wilkens, T., Jensch, P.: One Decade of Medical Imaging Standardisation and Implementation: a Short Review of DICOM and the OFFIS DICOM Toolkit. In: Proceedings of EuroPACS-MIR in the Enlarged Europe, pp. 253–256 (2004)Google Scholar
  6. 6.
    Clunie, D.: DICOM structured reporting: implementation experience. ftp://medical.nema.org/SRWorkshopJune0801/5-Comview-SR-2001-06-08dac.pdf
  7. 7.
    Jonathan, L.: ACC 2001 demonstration of DICOM structured reporting. ftp://medical.nema.org/SRWorkshopJune0801
  8. 8.
  9. 9.
    Muller, H., Michous, N., Bandon, D., Geissbuhler, A.: A review of content- based image retrieval systems in medical applications: clinical benefits and future directions. International Journal of Medical Informatics 73(1), 1–23 (2004)CrossRefGoogle Scholar
  10. 10.
    Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Transactions On Pattern Analysis and Machine Intelligence 22(12), 1349–1380 (2000)CrossRefGoogle Scholar
  11. 11.
    Veltkamp, R.C., Tanase, M.: Content-based image retrieval systems: a survey. Technical Report UU-CS-2000-34 (2002)Google Scholar
  12. 12.
    Gruber, T.R.: Towards Principles for the Design of Ontologies Used for Knowledge Sharing. In: Guarino, N., Poli, R. (eds.) Formal Ontology in Conceptual Analysis and Knowledge Representation, Kluwer Academic Publishers, Dordrecht (1993)Google Scholar
  13. 13.
    Menken, M., Stuckenschmidt, H., Wache, H., Serafini, L., Tamilin, A., Jarrar, M., Porto, F., Parent, C., Rector, A., Pan, J., d’Aquin, M., Lieber, J., Napoli, A., Stoilos, G., Tzouvaras, V., Stamou, G.: Report on modularization of ontologies. The Knowledge Web Network of Excellence (NoE) IST-2004-507482. Deliverable D2.1.3.1 (WP2.1) (2005)Google Scholar
  14. 14.
    Doran, P.: Ontology reuse via ontology modularization. Technical report. Knowledge Web Network of Excellence (NoE). Deliverable D2.1.3.1 (2005)Google Scholar
  15. 15.
    Hyvonën, E.R., Styrman, A., Saarela, S.: Ontology-based image annotation and retrieval, pp. 15–27. HIIT Publications (2002)Google Scholar
  16. 16.
    Tsinaraki, C., Polydoros, P., Kazasis, F., Christodoulakis, S.: Ontology-based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content. Multimedia Tools and Applications, Video Segmentation for Semantic Annotation and Transcoding (2004)Google Scholar
  17. 17.
  18. 18.
    Holzinger, A., Geierhofer, R., Errath, M.: Semantic Information in Medical Information Systems - from Data and Information to Knowledge: Facing Information Overload. In: Proc. of I-MEDIA 2007 and I-SEMANTICS 2007, pp. 323–330 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Sonia Mhiri
    • 1
  • Sylvie Despres
    • 2
  1. 1.The Computer Science Center of the Paris V University (CRIP5), 75006 ParisFrance
  2. 2.The Computer Science Laboratory of the Paris XIII University (LIPN), 93430 VilletaneuseFrance

Personalised recommendations