Information
- Publication Type: Bachelor Thesis
- Workgroup(s)/Project(s):
- Date: April 2020
- Date (Start): 1. September 2019
- Date (End): 24. April 2020
- Matrikelnummer: 01627754
- First Supervisor: Renata Raidou
Abstract
Visualizations are essential for anatomical education of the general public. Traditional
visualization methods focus on 2D and 3D information representations, either digital
or printed, but visualizations also have a physical form. Physical visualization is a
subdomain of the traditional visualization domain, where the data is represented by
means of a physical object. Physical visualizations have been reported to lead to greater information insights for the interacting user, but a lot of the fabrication methods to create physical visualizations of the anatomy are not accessible for the general public. In
this thesis, we present a workflow to ease the process of creating physical visualizations, made out of paper. The proposed workflow can be used to create two different types of anatomical visualizations. First, we generate 2D visualizations, examinable with color
filters that enhance the interactivity of the visualization. To encode multiple channels of information from the anatomical structures, a specific method of color blending is used, which enables the users to access the different anatomical structures selectively, without occlusion. That way the users explore the single layers of the printed visualizations using color filters. Second, 3D papercrafts are generated, which are also examinable with color filters. The anatomical model is unfolded on the paper sheet, can be printed and the user can assemble it and examine it under the color lenses, similarly to the 2D case. The papercrafts may be used as an educational toy in school teaching or for entertainment, since they are very easy to produce and to distribute. We present several 2D and 3D examples of the workflow of the Anatomical Entertainer on models for anatomical education.
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BibTeX
@bachelorsthesis{schindler2020,
title = "Anatomical Entertainer: Physical Visualization in a Medical
Context",
author = "Marwin Schindler",
year = "2020",
abstract = "Visualizations are essential for anatomical education of the
general public. Traditional visualization methods focus on
2D and 3D information representations, either digital or
printed, but visualizations also have a physical form.
Physical visualization is a subdomain of the traditional
visualization domain, where the data is represented by means
of a physical object. Physical visualizations have been
reported to lead to greater information insights for the
interacting user, but a lot of the fabrication methods to
create physical visualizations of the anatomy are not
accessible for the general public. In this thesis, we
present a workflow to ease the process of creating physical
visualizations, made out of paper. The proposed workflow can
be used to create two different types of anatomical
visualizations. First, we generate 2D visualizations,
examinable with color filters that enhance the interactivity
of the visualization. To encode multiple channels of
information from the anatomical structures, a specific
method of color blending is used, which enables the users to
access the different anatomical structures selectively,
without occlusion. That way the users explore the single
layers of the printed visualizations using color filters.
Second, 3D papercrafts are generated, which are also
examinable with color filters. The anatomical model is
unfolded on the paper sheet, can be printed and the user can
assemble it and examine it under the color lenses, similarly
to the 2D case. The papercrafts may be used as an
educational toy in school teaching or for entertainment,
since they are very easy to produce and to distribute. We
present several 2D and 3D examples of the workflow of the
Anatomical Entertainer on models for anatomical education.",
month = apr,
address = "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
school = "Research Unit of Computer Graphics, Institute of Visual
Computing and Human-Centered Technology, Faculty of
Informatics, TU Wien ",
URL = "https://www.cg.tuwien.ac.at/research/publications/2020/schindler2020/",
}