3D Models

Segmentation

With automatic segmentation, CBCT scans are converted into 3D STL models, ideal for consultations and clear visualization of oral health. These 3D models are invaluable for professionals in digital dentistry.

Diagnocat automatically segments soft tissue, teeth, pulp, upper and lower jaws, canals, sinuses, and other anatomical structures.

Our AI-powered report includes a multiplanar reconstruction mode. Slices are positioned based on the selected object in the 3D visualization and feature colored outlines of segmented structures.

Colored outlines of segmented structures in MPR.

Automated mandibular canal tracing.

Pathology segmentation feature filters for enabling and disabling conditions: Perio, Restorations, Endo. Each button activates a specific category of pathologies, which are graphically visualized in the 3D volume.

Segmentation of pulp and filling material.

Pathology segmentation.

When bone loss is identified, the root surface is highlighted with a color gradient, marked in 1 mm intervals.

Creating virtual models with Diagnocat is a key step for further planning, modeling in specialized software, or 3D printing.

Superimposition

Diagnocat enables fully automated segmentation of patient anatomy, overlaying the Intraoral scan data onto the CBCT to facilitate treatment planning and compelling patient engagement.