2011
DOI: 10.1016/j.cag.2011.01.011
|View full text |Cite
|
Sign up to set email alerts
|

Survey of glyph-based visualization techniques for spatial multivariate medical data

Abstract: 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 that 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: t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
70
0

Year Published

2013
2013
2020
2020

Publication Types

Select...
5
3
2

Relationship

0
10

Authors

Journals

citations
Cited by 113 publications
(70 citation statements)
references
References 44 publications
0
70
0
Order By: Relevance
“…This technique is similar to those applied to other spherical functions in bio-medical imaging [26], such as diffusion-tensor MRI [27], and provides a unique insight into the structure of the scattered field. This allows the user to explore the scattering efficiency of a particle in three-dimensions as a function of material and position ( Figure 9) and validate the effectiveness of MC integration (Figure 7).…”
Section: Surface Fieldsmentioning
confidence: 99%
“…This technique is similar to those applied to other spherical functions in bio-medical imaging [26], such as diffusion-tensor MRI [27], and provides a unique insight into the structure of the scattered field. This allows the user to explore the scattering efficiency of a particle in three-dimensions as a function of material and position ( Figure 9) and validate the effectiveness of MC integration (Figure 7).…”
Section: Surface Fieldsmentioning
confidence: 99%
“…Glyphs can be made to contain even more information by using data plots to determine their shapes; some examples are whisker, star, and parallel coordinate plots. Numerous papers have examined the effective use of glyph representations for various applications [2,3,4]. Yet these papers do not consider the unconscious associations that visual attributes -such as shape -may hold.…”
Section: Introductionmentioning
confidence: 99%
“…The visual attributes of glyphs can be 3D position, color, size, shape, texture, and so forth. Glyph-based visualization of arbitrary data in real-time virtual environments is addressed in Nagel [2005], Feng et al [2009], and Ropinski et al [2011]. Although many other types of data visualization exist, such as volumetric rendering based on voxels [Kratz et al 2006] or surface visualizations based on polygons or splats [Zhang and Kaufman 2006], the issues addressed in this article are aimed at 3D glyph-based visualizations.…”
Section: Introductionmentioning
confidence: 99%