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[TIP+05]  Combining Silhouettes, Shading, and Volume Rendering for Surgery Education and Planning

Tietjen:2005:CSS (In proceedings)
Author(s)Tietjen C., Isenberg T. and Preim B.
Title« Combining Silhouettes, Shading, and Volume Rendering for Surgery Education and Planning »
InData Visualization 2005: Proceedings of the Eurographics / IEEE VGTC Symposium on Visualization (EuroVis 2005, June 1--3, 2005, Leeds, England, UK)
SeriesEurographics Workshop Series
Editor(s)Ken W. Brodlie and David J. Duke and Kenneth I. Joy
Page(s)303--310, 335
Year2005
PublisherEurographics Association
AddressAire-la-Ville, Switzerland
Editor(s)Ken W. Brodlie and David J. Duke and Kenneth I. Joy

Abstract
We introduce a flexible combination of volume, surface, and line rendering.We employ object-based edge detection because this allows a flexible parametrization of the generated lines. Our techniques were developed mainly for medical applications using segmented patient-individual volume datasets. In addition, we present an evaluation of the generated visualizations with 8 medical professionals and 25 laypersons. Integration of lines in conventional rendering turned out to be appropriate.

BibTeX code
@inproceedings{Tietjen:2005:CSS,
  optnote = {},
  optorganization = {},
  author = {Christian Tietjen and Tobias Isenberg and Bernhard Preim},
  optkey = {},
  series = {Eurographics Workshop Series},
  optannote = {},
  editor = {Ken W. Brodlie and David J. Duke and Kenneth I. Joy},
  address = {Aire-la-Ville, Switzerland},
  localfile = {papers/Tietjen.2005.CSS.pdf},
  publisher = {Eurographics Association},
  doi = {http://dx.doi.org/10.2312/VisSym/EuroVis05/303-310},
  optmonth = {},
  optcrossref = {},
  booktitle = {Data Visualization 2005: Proceedings of the Eurographics\,/\,IEEE
               VGTC Symposium on Visualization (EuroVis~2005, June 1--3, 2005,
               Leeds, England, UK)},
  optvolume = {},
  optnumber = {},
  abstract = {We introduce a flexible combination of volume, surface, and line
              rendering.We employ object-based edge detection because this
              allows a flexible parametrization of the generated lines. Our
              techniques were developed mainly for medical applications using
              segmented patient-individual volume datasets. In addition, we
              present an evaluation of the generated visualizations with 8
              medical professionals and 25 laypersons. Integration of lines in
              conventional rendering turned out to be appropriate.},
  title = {{C}ombining {S}ilhouettes, {S}hading, and {V}olume {R}endering for
           {S}urgery {E}ducation and {P}lanning},
  year = {2005},
  pages = {303--310, 335},
}

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