TY - GEN
T1 - Real-Time Haptic cutting of high-resolution soft tissues
AU - Wu, Jun
AU - Westermann, Rüdiger
AU - Dick, Christian
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Collision Detection
KW - Cutting
KW - Deformable Bodies
KW - Finite Elements
KW - Haptic Rendering
KW - Surgery Simulation
UR - http://www.scopus.com/inward/record.url?scp=84897777130&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-375-9-469
DO - 10.3233/978-1-61499-375-9-469
M3 - Conference contribution
C2 - 24732558
AN - SCOPUS:84897777130
SN - 9781614993742
T3 - Studies in Health Technology and Informatics
SP - 469
EP - 475
BT - Medicine Meets Virtual Reality 21, NextMed/MMVR 2014
PB - IOS Press
T2 - 21st Medicine Meets Virtual Reality Conference, NextMed/MMVR 2014
Y2 - 20 February 2014 through 22 February 2014
ER -