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A Survey of Perceptually Motivated 3D Visualization of Medical Image Data

Authors :
Alexandra Baer
Timo Ropinski
Tobias Isenberg
Douglas W. Cunningham
Bernhard Preim
Otto-von-Guericke University [Magdeburg] (OVGU)
Department of Computer Science [Cottbus]
Brandenburg University of Technology
Analysis and Visualization (AVIZ)
Laboratoire de Recherche en Informatique (LRI)
Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Universität Ulm - Ulm University [Ulm, Allemagne]
Otto-von-Guericke-Universität Magdeburg = Otto-von-Guericke University [Magdeburg] (OVGU)
Brandenburgische Technische Universität = Brandenburg Technical University (BTU)
Source :
Computer Graphics Forum, Computer Graphics Forum, Wiley, 2016, 35 (3), pp.501-525. ⟨10.1111/cgf.12927⟩, Computer Graphics Forum, 2016, 35 (3), pp.501-525. ⟨10.1111/cgf.12927⟩
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

International audience; 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.

Details

Language :
English
ISSN :
01677055 and 14678659
Database :
OpenAIRE
Journal :
Computer Graphics Forum, Computer Graphics Forum, Wiley, 2016, 35 (3), pp.501-525. ⟨10.1111/cgf.12927⟩, Computer Graphics Forum, 2016, 35 (3), pp.501-525. ⟨10.1111/cgf.12927⟩
Accession number :
edsair.doi.dedup.....39f65e37ca5c8d84d8be88542ac45964
Full Text :
https://doi.org/10.1111/cgf.12927⟩