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VeLight: A 3D virtual reality tool for CT-based anatomy teaching and training
- Source :
- Journal of Visualization, 25, 293-306. Springer
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
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. Graphic Abstract: [Figure not available: see fulltext.]
- Subjects :
- Medical education
Focus (computing)
Enthusiasm
Computer science
Process (engineering)
media_common.quotation_subject
Anatomy
Human body
Virtual reality
Condensed Matter Physics
Domain (software engineering)
Dissection
3D manipulation
Perception
Anatomy teaching
Spatial interaction
Electrical and Electronic Engineering
media_common
Subjects
Details
- ISSN :
- 18758975 and 13438875
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Journal of Visualization
- Accession number :
- edsair.doi.dedup.....9ab6c45ed2f11bdbf3524dadd28b9aa0