Name
Abstract | ||
|---|---|---|
Surgical training plays an important role in assisting residents to develop critical skills. Providing effective surgical training, however, remains as a challenging task. Existing videotaped training instructions can only show imagery from a fixed viewpoint that lacks both depth perception and interactivity. We present a new portable immersive surgical training system that is capable of acquiring and displaying high fidelity 3D reconstructions of actual surgical procedures. Our solution utilizes a set of Microsoft Kinect sensors to simultaneously recover the participants, the surgical environment, and the surgical scene itself. We then develop a space-time navigator to allow the trainees to witness and explore a prior procedure as if they were there. Preliminary feedback from residents shows that our system is much more effective than conventional videotaped system. |
Year | Venue | Field |
|---|---|---|
2013 | MMVR | Computer graphics (images),Training system,Immersion (virtual reality),RGB color model,Multimedia,Medicine |
DocType | Volume | ISSN |
Conference | 184 | 0926-9630 |
Citations | PageRank | References |
2 | 0.51 | 1 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinqing Guo | 1 | 58 | 4.53 |
| Luis D. Lopez | 2 | 32 | 3.23 |
| Zhan Yu | 3 | 122 | 7.17 |
| Karl V Steiner | 4 | 7 | 3.15 |
| Kenneth E. Barner | 5 | 812 | 70.19 |
| Thomas L Bauer | 6 | 2 | 0.51 |
| Jingyi Yu | 7 | 1238 | 101.25 |