Virtual surgery simulation for medical training using multi-resolution organ models

✍ Scribed by Jung Kim; Changmok Choi; Suvranu De; Mandayam A. Srinivasan

• Publisher: Wiley (Robotic Publications)
• Year: 2007
• Tongue: English
• Weight: 906 KB
• Volume: 3
• Category: Article
• ISSN: 1478-5951
• DOI: 10.1002/rcs.140

✦ Synopsis

Abstract

Background

Real‐time simulation of organ deformation is one of the biggest challenges in virtual surgery, due to the conflicting requirements of real‐time interactivity and simulation realism. In this paper we propose a method to overcome this challenge by introducing a multi‐resolution modelling technique.

Methods

In our approach a reasonably coarse global model is locally enhanced, using a mesh subdivision and smoothing algorithm. The global model is based on a discretization of the boundary integral representation of three‐dimensional deformable objects. Local refinements are provided at the tool‐tissue interaction region by a local subdivision technique.

Results

As an example, we have developed a deformable human kidney model generated from the Visible Human Dataset, with tissue properties determined from in vivo animal experiments. A mixed reality laparoscopic surgical training system has been developed, using an abdominal mannequin and force feedback devices.

Conclusions

The use of precomputation and structural re‐analysis techniques results in a very rapid computation procedure. Validation of the simulator is in progress. Copyright © 2007 John Wiley & Sons, Ltd.