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Survey of Glyph-based Visualization Techniques for Spatial Multivariate Medical Data
Institut für Informatik, Münster, Germany.
Otto-von-Guericke-Universität, Institut für Simulation und Graphik, Magdeburg, Germany.
Otto-von-Guericke-Universität, Institut für Simulation und Graphik, Magdeburg, Germany.
2011 (English)In: Computers & graphics, ISSN 0097-8493, E-ISSN 1873-7684, Vol. 35, no 2, 392-401 p.Article in journal (Refereed) Published
Abstract [en]

In this survey article, we review glyph-based visualization techniques, which have been exploited when visualizing spatial multivariate medical data. To classify these techniques, we derive a taxonomy of glyph properties, which is based on classification concepts established in information visualization. By 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.

Place, publisher, year, edition, pages
Elsevier, 2011. Vol. 35, no 2, 392-401 p.
Keyword [en]
Glyphs, medical visualization, multivariate data
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-92864DOI: 10.1016/j.cag.2011.01.011OAI: oai:DiVA.org:liu-92864DiVA: diva2:623390
Available from: 2013-05-27 Created: 2013-05-27 Last updated: 2017-12-06Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
  • en-GB
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