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A Survey of Perceptually Motivated 3D Visualization of Medical Image Data
Author(s) -
Preim Bernhard,
Baer Alexandra,
Cunningham Douglas,
Isenberg Tobias,
Ropinski Timo
Publication year - 2016
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12927
Subject(s) - visualization , rendering (computer graphics) , computer science , perception , artificial intelligence , orientation (vector space) , matching (statistics) , data visualization , computer vision , depth perception , creative visualization , process (computing) , psychology , mathematics , statistics , geometry , neuroscience , operating system
This survey provides an overview of perceptually motivated techniques for the visualization of medical image data, including physics‐based lighting techniques as well as illustrative rendering that incorporate spatial depth and shape cues. Additionally, we discuss evaluations that were conducted in order to study the perceptual effects of these visualization techniques as compared to conventional techniques. These evaluations assessed depth and shape perception with depth judgment, orientation matching, and related tasks. This overview of existing techniques and their evaluation serves as a basis for defining the evaluation process of medical visualizations and to discuss a research agenda.