Personalized tooth shape estimation from radiograph and cast.

Area of Science:

• Biomedical Engineering
• Dental Imaging
• Orthodontics

Background:

• Accurate 3D tooth geometry is crucial for orthodontic diagnosis and treatment planning.
• Computed tomography (CT) provides detailed 3D data but raises concerns regarding radiation exposure.
• Existing methods are limited when dealing with historical patient data (radiographs, casts) where tooth morphology may have changed.

Purpose of the Study:

• To develop a novel framework for patient-specific 3D tooth reconstruction.
• To integrate 2D radiographs and digitized dental casts for comprehensive tooth geometry.
• To provide a radiation-free alternative to CT for orthodontic applications.

Main Methods:

• A template-fitting framework was employed for 3D tooth reconstruction.
• 2D radiograph contours were used to control and deform tooth root morphology via ray tracing.
• Non-rigid deformation of tooth templates was utilized to fit digitized dental casts for crown details.

Main Results:

• The proposed framework successfully reconstructs patient-specific 3D tooth geometries.
• The method integrates information from both 2D radiographs and digitized casts.
• It enables detailed reconstruction of tooth root and crown morphology.

Conclusions:

• The developed framework offers an effective method for 3D tooth reconstruction using readily available 2D radiographs and dental casts.
• This approach bypasses the need for CT scans, mitigating radiation concerns.
• It provides a valuable tool for analyzing historical dental data and for routine orthodontic diagnostics.