Examinando por Autor "Leon, C.A.D."

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    Remote teaching functional and anatomical concepts skeletal muscle system
    (SPRINGER, 2008-01-01) Leon, C.A.D.; Trefftz, H.; Pineda, F.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    In this paper we present the results of using a virtual content developed inside a telepresence application. The application combines video-conference with networked virtual environment allowing an instructor and a group of students to manipulate a virtual object in a collaborative manner. The virtual environment describes bones and muscular structures in order to support teaching of musculoskeletical concepts in a remote physiology class. The virtual environment simulates the movement of flexion and extension of the elbow and the muscular contraction. Current preliminary results show that the content developed within telepresence application can compensate for the lack of physical presence of the instructor in the classroom. © Springer-Verlag Berlin Heidelberg 2007.
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    Simulating soft tissues using a GPU approach of the mass-spring model
    (2010-01-01) Leon, C.A.D.; Eliuk, S.; Gomez, H.T.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    The recent advances in the fields such as modeling bio-mechanics of living tissues, haptic technologies, computational capacity, and graphics realism have created conditions necessary in order to develop effective surgical training using virtual environments. However, virtual simulators need to meet two requirements, they need to be real-time and highly realistic. The most expensive computational task in a surgical simulator is that of the physical model. The physical model is the component responsible to simulate the deformation of the anatomical structures and the most important factor in order to obtain realism. In this paper we present a novel approach to virtual surgery. The novelty comes in two forms: specifically a highly realistic mass-spring model, and a GPU based technique, and analysis, that provides a nearly 80x speedup over serial execution and 20x speedup over CPU based parallel execution. ©2010 IEEE.