title: An Approach for Automated Scene Management in Real-Time Medical Simulation Framework.
abstract: In this paper we present an algorithm that allows for minimal end-user inputs by internally automating the creation and management of interactions amongst the objects in the scene in real-time medical simulation framework. A bi-directed graph (with nodes representing the scene objects and the connections representing the interactions) is formed based on the inputs from the user. This graph is then processed using a two stage algorithm that aims to find subgraphs that can be treated as independent sub-systems. Collision detection, collision response, assembly and solver objects are then automatically created and managed. This allows for users with limited knowledge of the underlying physics models, collision detection and contact algorithms to easily create a surgical scenario with minimal inputs.
authors.affiliation: Medical Computing Team, Kitware Inc.
authors.forename: Venkata S
authors.initials: VS
authors.lastname: Arikatla
authors.affiliation: Medical Computing Team, Kitware Inc.
authors.forename: Ricardo
authors.initials: R
authors.lastname: Ortiz
authors.affiliation: Department of Computer Science, University of Central Arkansas.
authors.forename: Tansel
authors.initials: T
authors.lastname: Halic
authors.affiliation: Center for Modeling Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute.
authors.forename: Sean
authors.initials: S
authors.lastname: Radigan
authors.affiliation: Medical Computing Team, Kitware Inc.
authors.forename: David
authors.initials: D
authors.lastname: Thompson
authors.affiliation: Center for Modeling Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute.
authors.forename: Suvranu
authors.initials: S
authors.lastname: De
authors.affiliation: Medical Computing Team, Kitware Inc.
authors.forename: Andinet
authors.initials: A
authors.lastname: Enquobahrie
mesh_terms: D003198:Computer Simulation; D003199:Computer Systems; D004501:Education, Medical / Q000379:methods*; D000070856:High Fidelity Simulation Training / Q000379:methods*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008954:Models, Biological; D014584:User-Computer Interface