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EN
The development of an interactive remote control of robots, of sensors and of view systems has enabled an expansion of potential area of modern surgery. Initiated by an army, the project of surgery in the field of battle has become a base of new domain of knowledge. It should be noticed that surgery executed by robots as minimally invasive surgery could be more precise and less incriminating for patient then using classical methods. The topic of the research described in this elaboration is the project of the haptic device with 6 degrees of freedom intended for the work with feedback-force control. The kinematic scheme is based on a partially decoupled parallelogram mechanism POLMAN 3×2. It means that it has 3 arms, each consists of parallelogram and quadrilateral transmission-carrying mechanism. The displacement of any degree of freedom has a very little influence on other degrees of freedom. Very important problem for ergonomic and surgery precision is a signal communication between the two sides, so it can give a feeling of real touching of an operated tissue by a doctor.
2
Content available remote Multimodal neurosurgery force feedback system based on mesh fusion modeling
EN
Virtual reality based force feedback system is spotlighted as a safe and efficient training environment to obtain surgical skills. Neurosurgery utilizes multimodal patient images for visualization of a variety of functions in head. The aim of this study is to establish a concept of multimodal neurosurgery force feedback system based on mesh fusion modeling. In the model of mesh fusion, we developed an algorithm to detect overlapped region between the multiple meshes that are obtained from multimodal images, and to determine a new boundary between the meshes. Then, the method solved interaction between the newly defined mesh boundaries using the interaction model based on a finite element method. The proposed method was implemented, and applied to both simple and patient datasets for evaluating its applicability. As a result, the method succeeded to be applied to both simple and patient datasets. Finally, we demonstrated the early stage of the surgical approach in neurosurgery. Simulation results showed a real-time simulation of brain tissue deformation with force feedback.
EN
Introduction: Dental students invest many hours in manual dexterity training to prepare themselves for the clinics. Exercising on plastic has the advantage of learning within a standardized environment; continuing exercises on prefab teeth are unrealistic as plastic does not generate a training facility for clinical problem solving. Introducing a virtual learning environment with haptics and 3D models with realistic pathology (the Simodont) enables students to become competent before they enter clinics, assuming that the competences are easily transferred from virtual reality to reality. Therefore a study has been carried out to investigate if skills developed in virtual reality are transferred to reality. Methodology: Twenty-eight students participated in the study; 10 trained in the traditional phantom lab, 10 trained in the Simodont lab and 8 acted as a control group. Performance was tested before, during and after training. Result: It turned out that all students performed better after little or more training, independent of the training environment. Conclusion: Skills developed in virtual reality on the Simodont were transferred to reality.
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