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A portable immersive surgery training system using RGB-D sensors

  • Xinqing Guo
  • , Luis D. Lopez
  • , Zhan Yu
  • , Karl V. Steiner
  • , Kenneth E. Barner
  • , Thomas L. Bauer
  • , Jingyi Yu
  • University of Delaware

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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.

Original languageEnglish
Pages (from-to)161-167
Number of pages7
JournalStudies in Health Technology and Informatics
Volume184
DOIs
StatePublished - 2013

Keywords

  • 3D Reconstruction
  • Immersive Surgery Training
  • Microsoft Kinect
  • RGB-D Sensor
  • Stereoscopic Display

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