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Smoothing of Tomographic Data and Hybrid Volume-Surface Visualisation

In: Mathematics — Key Technology for the Future

Author

Listed:
  • Willi Jäger

    (Universität Heidelberg, Interdisziplinäres Zentrum für Wissenschaftliches Rechnen (IWR))

  • Cătălin Dârtu

    (Universität Heidelberg, Interdisziplinäres Zentrum für Wissenschaftliches Rechnen (IWR))

Abstract

Visualisation of higher dimensional data sets is an important tool for their analysis and most important in medical diagnosis and therapy. Starting from application in dental medicine and facial surgery, this project had as an aim to improve the methods of volumetric image processing. Here, high quality of the visual representation and speed in generating the images on standard hardware are challenging demands. Nonlinear filtering techniques were applied to smooth the data obtained from computer tomography. The paper presents some features and implementation details of an object oriented software specialized in volumetric image processing. It is a report of the results in hybrid visualisation of volumes and different surface types, where the most important progress could be achieved. The volume rendering techniques of this project were developed for medical applications, however, they are in the meantime applied to high dimensional data sets, e.g. to visualise reactive flow and transport. This BMBF supported project had in medical application the following partners: Klinik für Mund-, Kiefer- und Gesichtschirurgie, Universität Heidelberg (Priv. Doz. Dr. Dr. S. Haßfeld) Friatec AG, Mannheim-Friedrichsfeld

Suggested Citation

  • Willi Jäger & Cătălin Dârtu, 2003. "Smoothing of Tomographic Data and Hybrid Volume-Surface Visualisation," Springer Books, in: Willi Jäger & Hans-Joachim Krebs (ed.), Mathematics — Key Technology for the Future, pages 503-519, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-55753-8_41
    DOI: 10.1007/978-3-642-55753-8_41
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