vriphys: Workshop in Virtual Reality Interactions and Physical Simulations

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Browsing vriphys: Workshop in Virtual Reality Interactions and Physical Simulations by Subject "Applications"

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    Brownian Dynamics Simulation on the GPU: Virtual Colloidal Suspensions
    (The Eurographics Association, 2015) Tran, Công Tâm; Crespin, Benoît; Cerbelaud, Manuella; Videcoq, Arnaud; Fabrice Jaillet and Florence Zara and Gabriel Zachmann
    Brownian Dynamics simulations are frequently used to describe and study the motion and aggregation of colloidal particles, in the field of soft matter and material science. In this paper, we focus on the problem of neighbourhood search to accelerate computations on a single GPU. Our approach for one kind of particle outperforms existing implementations by introducing a novel dynamic test. For bimodal size distributions we also introduce a new algorithm that separates computations for large and small particles, in order to avoid additional friction that is known to restrict diffusive displacements.
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    See-through Visualisation for Training and Assessing Unsighted Physical Examinations
    (The Eurographics Association, 2017) Granados, Alejandro; Perhac, Jan; Rosby, Lucy Victoria; Lee, Yee Mun; Tan, Glenn Wei Leong; Tan, Tai Chi; Higham, Jenny; Thalmann, Nadia; Low-Beer, Naomi; Bello, Fernando; Fabrice Jaillet and Florence Zara
    Objective: Motivated by the limitations of being unable to provide feedback and adequately assess technical skills whilst training unsighted physical examinations, such as Digital Rectal Examinations (DRE), we present a see-through visualisation system that can be used with benchtop models widely available in medical schools. Methods: We use position and pressure sensors located on the examining finger and have implemented a Virtual Reality (VR) simulation learning tool consisting of registered 3D models of the benchtop, augmented with relevant surrounding pelvic anatomy. The proposed system was evaluated with six medical students and eleven consultants. Results: The system is stable, runs in real time, uses unobtrusive sensor coils and pads, is able to capture data from sensors at 40Hz and adequately translates and rotates the position of the examining finger aligned to the 3D models of the benchtop and surrounding anatomy. Both medical students and consultants recognised the educational value of being able to see-through and visualise surrounding relevant anatomy. Although novices are reported to be the group that could benefit the most from our system, it is crucial not to be over reliant on visual cues for too long and to develop a strategy for the adequate use of the see-through system. Conclusions: The proposed VR simulation system is intended to improve the experience of novices learning unsighted examinations by providing real-time feedback and visualisation, allowing trainees to reflect on their performance and permitting more adequate assessment of technical skills.
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    SutureHap: A Suture Simulator with Haptic Feedback
    (The Eurographics Association, 2014) Ricardez, Eusebio; Noguez, Julieta; Neri, Luis; Munoz-Gomez, Lourdes; Escobar-Castillejos, David; Jan Bender and Christian Duriez and Fabrice Jaillet and Gabriel Zachmann
    Surgical procedures require a high degree of complexity and difficulty. Consequently, extensive preparation in the learning process of medical students is necessary in order to perform suturing tasks successfully. Some authors suggest that a minimum of 750 operations are needed to acquire the experience to perform correctly surgical procedures. Moreover, current laws establish standards if corpses and animals are used as medical learning environments; as a result, the development of skills and processes is hindered. This paper introduces the development of a virtual environment for training suture skills: SutureHap, which uses two Sensable Phantom Omni haptic devices. To create a proper simulation of the human skin which must fulfill graphic and physical characteristics, NVIDIA PhysX libraries were usea. Some of these libraries were originally defined to represent cloths; however, in this work some parameters were adjusted to obtain the desired simulation. An architecture that facilitates the integration of haptic devices was designed. A simplified method of collision detection and haptic feedback generation was created. This enabled the reduction of complexity generated during collision detection, and it diminished the time to develop the virtual environment. Tweezers, thread and needle models were added in the virtual environment. Due to fact that PhysX exploits GPU processing, response time was improved during modeling of the skin. Additionally, suturing tasks were designed by taking into consideration real procedures made by medical experts. The acquisition of skills and competencies in suture process are increased through haptic devices due to the fact that they can send tactile sensations. These environments decrease costs and risks, and provide real sensations as the ones that can be perceived in current learning environments. Finally, an evaluation focused on the perception of this environment was made by students. Preliminary results are promising, and it is expected that this environment facilitates the acquisition of suture skills.
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    Vascular Neurosurgery Simulation with Bimanual Haptic Feedback
    (The Eurographics Association, 2015) Dequidt, Jeremie; Coevoet, Eulalie; Thinès, Laurent; Duriez, Christian; Fabrice Jaillet and Florence Zara and Gabriel Zachmann
    Virtual surgical simulators face many computational challenges: they need to provide biophysical accuracy, realistic feed-backs and high-rate responses. Better biophysical accuracy and more realistic feed-backs (be they visual, haptic. . . ) induce more computational footprint. State-of-the-art approaches use high-performance hardware or find an acceptable trade-off between performance and accuracy to deliver interactive yet pedagogically relevant simulators. In this paper, we propose an interactive vascular neurosurgery simulator that provides bi-manual interaction with haptic feedback. The simulator is an original combination of states-of-the-art techniques that allows visual realism, bio-physical realism, complex interactions with the anatomical structures and the instruments and haptic feedback. Training exercises are also proposed to learn and to perform the different steps of intracranial aneurysm surgery (IAS). We assess the performance of our simulator with quantitative performance benchmarks and qualitative assessments of junior and senior clinicians.