Virtual, hybrid three-dimensional (3D) model acquisition is presented in this article,
utilizing the sequence of radiographic image segmentation, spatial registration, and
free-form surface modeling. Firstly cone-beam computed tomography datasets were reconstructed
with a semi-automatic segmentation method. Alveolar bone and teeth are separated into
different segments, allowing 3D morphology, and localization of periodontal intrabony
defects to be assessed. The severity, extent, and morphology of acute and chronic
alveolar ridge defects are validated concerning adjacent teeth. On virtual complex
tissue models, positions of dental implants can be planned in 3D. Utilizing spatial
registration of IOS and CBCT data and subsequent free-form surface modeling, realistic
3D hybrid models can be acquired, visualizing alveolar bone, teeth, and soft tissues.
With the superimposition of IOS and CBCT soft tissue, thickness above the edentulous
ridge can be assessed about the underlying bone dimensions; therefore, flap design
and surgical flap management can be determined, and occasional complications may be
avoided.