Literature DB >> 15718756

A GPU accelerated spring mass system for surgical simulation.

Jesper Mosegaard1, Peder Herborg, Thomas Sangild Sørensen.   

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).

Mesh:

Year:  2005        PMID: 15718756

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


  3 in total

1.  GPU-based physical cut in interactive haptic simulations.

Authors:  Davide Zerbato; Daniele Baschirotto; Davide Baschirotto; Debora Botturi; Paolo Fiorini
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-06-23       Impact factor: 2.924

Review 2.  Preoperative workflow for lymph nodes staging.

Authors:  Debora Botturi; Francesca Pizzorni Ferrarese; Giulia Angela Zamboni; Davide Zerbato
Journal:  Int J Comput Assist Radiol Surg       Date:  2008-10-28       Impact factor: 2.924

3.  Mass-spring model for simulation of heart valve tissue mechanical behavior.

Authors:  Peter E Hammer; Michael S Sacks; Pedro J del Nido; Robert D Howe
Journal:  Ann Biomed Eng       Date:  2011-02-25       Impact factor: 3.934

  3 in total

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