This article presents a novel virtual teeth drilling system designed to aid dentists, dental students, and researchers in getting acquainted with teeth anatomy, the handling of drilling instruments, and the challenges associated with drilling procedures during endodontic therapy. The system is designed to be used for educational and research purposes in dental schools. The application features a 3D face and oral cavity model constructed using anatomical data that can be adapted to the characteristics of a specific patient using either facial photographs or 3D data. Animation of the models is also feasible. Virtual drilling using a Phantom Desktop (Sensable Technologies Inc., Woburn, MA) force feedback haptic device is performed within the oral cavity on 3D volumetric and surface models of teeth, obtained from serial cross sections of natural teeth. Final results and intermediate steps of the drilling procedure can be saved on a file for future use. The application has the potential to be a very promising educational and research tool that allows the user to practice virtual teeth drilling for endodontic cavity preparation or other related d research tool that allows the user to practice virtual teeth drilling for endodontic cavity preparation or other related research tool that allows the user to practice virtual teeth drilling for endodontic cavity preparation or other related procedures on high-detail teeth models placed within an adaptable and animated 3D face and oral cavity model.Mr.
This paper is a joint effort between five institutions that introduces several novel similarity measures and combines them to carry out a multimodal segmentation evaluation. The new similarity measures proposed are based on the location and the intensity values of the misclassified voxels as well as on the connectivity and the boundaries of the segmented data. We show experimentally that the combination of these measures improve the quality of the evaluation. The study that we show here has been carried out using four different segmentation methods from four different labs applied to a MRI simulated dataset of the brain. We claim that our new measures improve the robustness of the evaluation and provides better understanding about the difference between segmentation methods.
This paper introduces, a virtual teeth drilling system named Virtual Dental Patient designed to aid dentists in getting acquainted with the teeth anatomy, the handling of drilling instruments and the challenges associated with the drilling procedure. The basic aim of the system is to be used for the training of dental students. The application features a 3D model of the face and the oral cavity that can be adapted to the characteristics of a specific person and animated. Drilling using a haptic device is performed on realistic teeth models (constructed from real data), within the oral cavity. Results and intermediate steps of the drilling procedure can be saved for future use.
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