“Enhancing Radiography Education through Co-located Mixed Reality with Tracker-based X-ray Imaging Simulation” by Xu, Puggioni, Kilroy and Campbell
Conference:
Type(s):
Title:
- Enhancing Radiography Education through Co-located Mixed Reality with Tracker-based X-ray Imaging Simulation
Session/Category Title: Augmented & Virtual Reality
Presenter(s)/Author(s):
Abstract:
This poster introduces a co-located collaborative Mixed Reality (MR) teaching system for Veterinary Radiography training. Integrating real X-ray equipment with virtual horse models simulates radiographic procedures. It enables synchronized virtual objects and real-time radiography, facilitating better student assessment and technique demonstration. An expert review study evaluated user experience positively.
References:
[1]
Haydn Bannister, Ben Selwyn-Smith, Craig Anslow, Brian Robinson, Rafael Kuffner dos Anjos, Daniel Pires, Paul Kane, and Aidan Leong. 2019. LINACVR: VR Simulation for Radiation Therapy Education. In VRST. 79?1.
[2]
Benjamin D Killeen, Jonas Winter, Wenhao Gu, Alejandro Martin-Gomez, Russell H Taylor, Greg Osgood, and Mathias Unberath. 2023. Mixed reality interfaces for achieving desired views with robotic X-ray systems. Computer methods in biomechanics and biomedical engineering: imaging & visualization 11, 4 (2023), 1130?1135.
[3]
M O?Connor, J Stowe, J Potocnik, N Giannotti, S Murphy, and L Rainford. 2021. 3D virtual reality simulation in radiography education: The students? experience. Radiography 27, 1 (2021), 208?214.
[4]
Aaron Sujar, Graham Kelly, Marcos Garc?a, and Franck P Vidal. 2022. Interactive teaching environment for diagnostic radiography with real-time X-ray simulation and patient positioning. International Journal of Computer Assisted Radiology and Surgery 17, 1 (2022), 85?95.
[5]
Xuanhui Xu, Antonella Puggioni, David Kilroy, and Abraham G. Campbell. 2023. User Experience of Collaborative Co-located Mixed Reality: a User Study in Teaching Veterinary Radiation Safety Rules. In 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). 583?590. https://doi.org/10.1109/ISMAR59233.2023.00073