Visual Computing in Biology and Medicine: Survey of glyph-based visualization techniques for spatial multivariate medical data

  • Authors:
  • Timo Ropinski;Steffen Oeltze;Bernhard Preim

  • Affiliations:
  • Institut für Informatik, Einsteinstraíe 62, 48149 Münster, Germany;Otto-von-Guericke-Universität, Institut für Simulation und Graphik, Universitätsplatz 2, 39106 Magdeburg, Germany;Otto-von-Guericke-Universität, Institut für Simulation und Graphik, Universitätsplatz 2, 39106 Magdeburg, Germany

  • Venue:
  • Computers and Graphics
  • Year:
  • 2011

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Abstract

In this survey article, we review glyph-based visualization techniques that have been exploited when visualizing spatial multivariate medical data. To classify these techniques, we derive a taxonomy of glyph properties that is based on classification concepts established in information visualization. Considering both the glyph visualization as well as the interaction techniques that are employed to generate or explore the glyph visualization, we are able to classify glyph techniques into two main groups: those supporting pre-attentive and those supporting attentive processing. With respect to this classification, we review glyph-based techniques described in the medical visualization literature. Based on the outcome of the literature review, we propose design guidelines for glyph visualizations in the medical domain.