A system for 3D-planning for dental implantology is described. Since exact knowledge of the position of the nervus alv. inf. is critical, we present an algorithm for automated detection of this nerve, which requires only very little initial user interaction. To allow interactive implant placement on comparatively low-cost pc hardware we developed hybrid visualization techniques, which refrain from using large texture memory and raster engines.