title: A GPU accelerated spring mass system for surgical simulation.
abstract: There is a growing demand for surgical simulators to do fast and precise calculations of tissue deformation to simulate increasingly complex morphology in real-time. Unfortunately, even fast spring-mass based systems have slow convergence rates for large models. This paper presents a method to accelerate computation of a spring-mass system in order to simulate a complex organ such as the heart. This acceleration is achieved by taking advantage of modern graphics processing units (GPU).
authors.affiliation: Department of Computer Science, University of Aarhus, Denmark.
authors.forename: Jesper
authors.initials: J
authors.lastname: Mosegaard
authors.forename: Peder
authors.initials: P
authors.lastname: Herborg
authors.forename: Thomas Sangild
authors.initials: TS
authors.lastname: Sørensen
mesh_terms: D003198:Computer Simulation; D003238:Connective Tissue; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D013903:Thoracic Surgery; D014584:User-Computer Interface