Medical Ultrasound Training in Virtual Reality
| dc.contributor.author | Elliman, James P. | en_US |
| dc.contributor.author | Bethapudi, Sarath | en_US |
| dc.contributor.author | Koulieris, George Alex | en_US |
| dc.contributor.editor | Ritsos, Panagiotis D. and Xu, Kai | en_US |
| dc.date.accessioned | 2020-09-10T06:27:54Z | |
| dc.date.available | 2020-09-10T06:27:54Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | In this work we propose a novel training solution for learning and practising the core psychomotor skills required in Diagnostic Ultrasound examinations with a computer-based simulator. This is in response to the long-standing challenges faced by educators in providing regular training opportunities as a shortage of equipment, staff unavailability and cost, hamper the current training model. We propose an alternative, VR-based model with a highly realistic 3D environment. To further realism of the experience, 3D printed props that work in conjunction with the simulation software will be designed. Our approach further extends previous work in generative model-based US simulation by developing a ray-tracing algorithm for use with the recently released NVidia RTX technology. | en_US |
| dc.description.sectionheaders | AR and VR | |
| dc.description.seriesinformation | Computer Graphics and Visual Computing (CGVC) | |
| dc.identifier.doi | 10.2312/cgvc.20201157 | |
| dc.identifier.isbn | 978-3-03868-122-9 | |
| dc.identifier.pages | 91-92 | |
| dc.identifier.uri | https://doi.org/10.2312/cgvc.20201157 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/cgvc20201157 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Computing methodologies | |
| dc.subject | Virtual reality | |
| dc.subject | Applied computing | |
| dc.subject | Interactive learning environments | |
| dc.title | Medical Ultrasound Training in Virtual Reality | en_US |