Literature DB >> 22003633

Layered surface fluid simulation for surgical training.

Louis Borgeat1, Philippe Massicotte, Guillaume Poirier, Guy Godin.   

Abstract

We present a novel approach to fluid simulation over complex dynamic geometry designed for the specific context of virtual surgery simulation. The method combines a surface-based fluid simulation model with a multi-layer depth peeling representation to allow realistic yet efficient simulation of bleeding on complex surfaces undergoing geometry and topology modifications. Our implementation allows for fast fluid propagation and accumulation over the entire scene, and runs on the GPU at a constant low cost that is independent of the amount of blood in the scene. The proposed bleeding simulation is integrated in a complete simulator for brain tumor resection, where trainees have to manage blood aspiration and tissue/vessel cauterization while they perform virtual surgery tasks.

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Year:  2011        PMID: 22003633     DOI: 10.1007/978-3-642-23623-5_41

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  1 in total

1.  Assessing performance in brain tumor resection using a novel virtual reality simulator.

Authors:  Nicholas Gélinas-Phaneuf; Nusrat Choudhury; Ahmed R Al-Habib; Anne Cabral; Etienne Nadeau; Vincent Mora; Valerie Pazos; Patricia Debergue; Robert DiRaddo; Rolando F Del Maestro
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-06-20       Impact factor: 2.924

  1 in total

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