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MedicVR

Acceleration and Enhancement Techniques for Direct Volume Rendering in Virtual Reality

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Book cover Bildverarbeitung für die Medizin 2019

Part of the book series: Informatik aktuell ((INFORMAT))

Zusammenfassung

Further developments of the medical virtual reality application MedicVR were achieved by new approaches to direct volume rendering with the HTC Vive head mounted display. Even though the necessary real-time performance for a smooth interactive experience is accomplished by the shader technologies, the rendered image quality and performance is influenced by several parameters. We propose in this paper multiple technological upgrades to our application including: Lens Matched Shading, interactive volume clipping, semi-adaptive sampling, global illumination in direct volume rendering with shadow rays as well as an optimisation method for shadow rays and multiple light source integration. The quality of the rendered images is increased while keeping impact on performance at minimal levels. The application is currently used in study and planning in the field of dentofacial surgery.

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Literatur

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Author information

Authors and Affiliations

  1. MASCOR Institute, FH Aachen, Aachen, Deutschland

    Ingrid Scholl, Cem Moluluo, Berat Ertural, Frederic Laing & Sebastian Suder

  2. Clinic for Oral and Maxillofacial Surgery, Uniklinik RWTH Aachen, Aachen, Deutschland

    Alex Bartella

Authors
  1. Ingrid Scholl
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  2. Alex Bartella
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  3. Cem Moluluo
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  4. Berat Ertural
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  5. Frederic Laing
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  6. Sebastian Suder
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Corresponding author

Correspondence to Ingrid Scholl .

Editor information

Editors and Affiliations

  1. Universität zu Lübeck, Institut für Medizinische Informatik, Lübeck, Germany

    Heinz Handels

  2. Peter-L. Reichertz Inst. f. Med. Inf., Technische Univ. Braunschweig, Braunschweig, Niedersachsen, Germany

    Thomas M. Deserno

  3. Lehrstuhl für Mustererkennung, Friedrich-Alexander-Universität, Erlangen, Germany

    Andreas Maier

  4. Medical Image Computing, E230, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany

    Klaus Hermann Maier-Hein

  5. Fak. f. Informatik u. Mathematik, OTH Regensburg, Regensburg, Germany

    Christoph Palm

  6. Inst. f. Med. Informatik, Charité - Universitätsmedizin Berlin, Berlin, Berlin, Germany

    Thomas Tolxdorff

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© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Scholl, I., Bartella, A., Moluluo, C., Ertural, B., Laing, F., Suder, S. (2019). MedicVR. In: Handels, H., Deserno, T., Maier, A., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2019. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-25326-4_32

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