Literature DB >> 24732558

Real-time haptic cutting of high-resolution soft tissues.

Jun Wu1, Rüdiger Westermann1, Christian Dick1.   

Abstract

We present our systematic efforts in advancing the computational performance of physically accurate soft tissue cutting simulation, which is at the core of surgery simulators in general. We demonstrate a real-time performance of 15 simulation frames per second for haptic soft tissue cutting of a deformable body at an effective resolution of 170,000 finite elements. This is achieved by the following innovative components: (1) a linked octree discretization of the deformable body, which allows for fast and robust topological modifications of the simulation domain, (2) a composite finite element formulation, which thoroughly reduces the number of simulation degrees of freedom and thus enables to carefully balance simulation performance and accuracy, (3) a highly efficient geometric multigrid solver for solving the linear systems of equations arising from implicit time integration, (4) an efficient collision detection algorithm that effectively exploits the composition structure, and (5) a stable haptic rendering algorithm for computing the feedback forces. Considering that our method increases the finite element resolution for physically accurate real-time soft tissue cutting simulation by an order of magnitude, our technique has a high potential to significantly advance the realism of surgery simulators.

Mesh:

Year:  2014        PMID: 24732558

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Handling topological changes during elastic registration : Application to augmented reality in laparoscopic surgery.

Authors:  Christoph J Paulus; Nazim Haouchine; Seong-Ho Kong; Renato Vianna Soares; David Cazier; Stephane Cotin
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-12-09       Impact factor: 2.924

  1 in total

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