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Erschienen in: Journal of Visualization 2/2022

07.10.2021 | Regular Paper

VeLight: A 3D virtual reality tool for CT-based anatomy teaching and training

verfasst von: Lingyun Yu, Joost Ouwerling, Pjotr Svetachov, Frans h. j. van Hoesel, Peter M. A. van Ooijen, Jiri Kosinka

Erschienen in: Journal of Visualization | Ausgabe 2/2022

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Abstract

For doctors and other medical professionals, the human body is the focus of their daily practice. A solid understanding of how it is built up, that is, the anatomy of the human body, is essential to ensure safe medical practice. Current anatomy education takes place either using text books or via dissecting human cadavers, with text books being the most traditional way to learn anatomy due to the cost of the alternatives. However, printed media offer only a 2D perception of a part of the human body. Although dissection of human cadavers can give a more direct observation and interaction with human bodies, it is extremely costly because of the need of preserving human bodies and maintaining dissection rooms. To solve this issue, we developed VeLight, a system with which students can learn anatomy based on CT datasets using a 3D Virtual Reality display (zSpace). VeLight offers simple and intuitive interactions, and allows teachers to design their own courses using their own material. The system offers an interactive, depth-perceptive learning experience and improves the learning process. We conducted an informal user study to validate the effectiveness of VeLight. The results show that participants were able to learn and remember how to work with VeLight very quickly. All participants reported enthusiasm for the potential of VeLight in the domain of medical education.

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Metadaten
Titel
VeLight: A 3D virtual reality tool for CT-based anatomy teaching and training
verfasst von
Lingyun Yu
Joost Ouwerling
Pjotr Svetachov
Frans h. j. van Hoesel
Peter M. A. van Ooijen
Jiri Kosinka
Publikationsdatum
07.10.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Visualization / Ausgabe 2/2022
Print ISSN: 1343-8875
Elektronische ISSN: 1875-8975
DOI
https://doi.org/10.1007/s12650-021-00790-y

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