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Anisotropic Diffusion for Direct Haptic Volume Rendering in Lumbar Puncture Simulation

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Bildverarbeitung für die Medizin 2012

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

Abstract

The segmentation of patient data often is mandatory for surgical simulations to enable realistic visual and haptic rendering. The necessary preparation time lies in the range from several hours to days. Here we augment a direct haptic volume rendering approach for lumbar punctures by edge-preserving smoothing preprocessing. Evaluation is carried out on user defined paths. Compared to our reference system force output can be improved over non-preprocessed image data.

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Author information

Authors and Affiliations

  1. Institute of Medical Informatics, University of Lübeck, Lübeck, Deutschland

    Andre Mastmeyer, Dirk Fortmeier & Heinz Handels

  2. Graduate School for Computing in Medicine and Life Sciences, University of Lübeck, Lübeck, Deutschland

    Dirk Fortmeier

Authors
  1. Andre Mastmeyer
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  2. Dirk Fortmeier
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  3. Heinz Handels
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Corresponding author

Correspondence to Andre Mastmeyer .

Editor information

Editors and Affiliations

  1. Charité Campus Benjamin Franklin, Inst. Medizinische Informatik,, Universitätsklinikum Berlin, Hindenburgdamm 30, Berlin, 12200, Berlin, Germany

    Thomas Tolxdorff

  2. Inst. Medizinische Informatik, RWTH Aachen, Pauwelsstr. 30, Aachen, 52074, Germany

    Thomas Martin Deserno

  3. , Institut für Medizinische Informatik, Universität zu Lübeck, Ratzeburger Allee 160, Lübeck, 23562, Germany

    Heinz Handels

  4. Abt. Med./Biol.Inform./H0100, Deutsches Krebsforschungzentrum (DKFZ), Im Neuenheimer Feld 280, Heidelberg, 69120, Germany

    Hans-Peter Meinzer

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© 2012 Springer-Verlag Berlin Heidelberg

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Mastmeyer, A., Fortmeier, D., Handels, H. (2012). Anisotropic Diffusion for Direct Haptic Volume Rendering in Lumbar Puncture Simulation. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2012. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28502-8_50

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