Essential techniques for laparoscopic surgery simulation

This data was imported from Scopus:

Authors: Qian, K., Bai, J., Yang, X., Pan, J. and Zhang, J.

http://eprints.bournemouth.ac.uk/24081/

Journal: Computer Animation and Virtual Worlds

Volume: 28

Issue: 2

eISSN: 1546-427X

ISSN: 1546-4261

DOI: 10.1002/cav.1724

Copyright © 2016 John Wiley & Sons, Ltd. Laparoscopic surgery is a complex minimum invasive operation that requires long learning curve for the new trainees to have adequate experience to become a qualified surgeon. With the development of virtual reality technology, virtual reality-based surgery simulation is playing an increasingly important role in the surgery training. The simulation of laparoscopic surgery is challenging because it involves large non-linear soft tissue deformation, frequent surgical tool interaction and complex anatomical environment. Current researches mostly focus on very specific topics (such as deformation and collision detection) rather than a consistent and efficient framework. The direct use of the existing methods cannot achieve high visual/haptic quality and a satisfactory refreshing rate at the same time, especially for complex surgery simulation. In this paper, we proposed a set of tailored key technologies for laparoscopic surgery simulation, ranging from the simulation of soft tissues with different properties, to the interactions between surgical tools and soft tissues to the rendering of complex anatomical environment. Compared with the current methods, our tailored algorithms aimed at improving the performance from accuracy, stability and efficiency perspectives. We also abstract and design a set of intuitive parameters that can provide developers with high flexibility to develop their own simulators. Copyright © 2016 John Wiley & Sons, Ltd.

This data was imported from Web of Science (Lite):

Authors: Qian, K., Bai, J., Yang, X., Pan, J. and Zhang, J.

http://eprints.bournemouth.ac.uk/24081/

Journal: COMPUTER ANIMATION AND VIRTUAL WORLDS

Volume: 28

Issue: 2

eISSN: 1546-427X

ISSN: 1546-4261

DOI: 10.1002/cav.1724

The data on this page was last updated at 05:24 on October 24, 2020.