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Dynamic Navigation for Dental Implant Placement

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Jaw motion tracking with open-source tools: A dental technique.

Gennaro Ruggiero¹, Roberto Sorrentino², Francesco Grande³

¹Resident, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Division of Prosthodontics, Scientific Unit of Digital Dentistry, University "Federico II" of Naples, Naples, Italy.

The Journal of Prosthetic Dentistry

|April 15, 2025

Summary

This study presents a cost-effective method for tracking mandibular movements using open-source Blender software, video, and intraoral scans. Semispherical markers synchronize virtual dental casts for integration with CAD and 3D imaging.

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Area of Science:

Biomedical Engineering
Dental Technology
Computer-Aided Design (CAD)

Background:

Accurate tracking of mandibular movements is crucial for diagnosing and treating various dental and craniofacial conditions.
Existing methods for mandibular movement tracking can be expensive and complex, limiting accessibility.

Purpose of the Study:

To develop and present a cost-effective method for tracking mandibular movements.
To integrate open-source software solutions with established dental imaging techniques for enhanced data acquisition.

Main Methods:

Utilized open-source Blender software (v. 4.3) in conjunction with video recordings and intraoral scans.
Employed semispherical resin markers as reference points to synchronize virtual cast movements derived from intraoral scanning.
Integrated acquired data with CAD software, facial scanning, and cone beam computed tomography (CBCT).

Main Results:

Successfully demonstrated a feasible and cost-effective approach for capturing dynamic mandibular motion.
Established a workflow for synchronizing 3D intraoral scan data with real-time mandibular movements.
Enabled the integration of kinematic data with comprehensive 3D patient models.

Conclusions:

The described method offers an accessible and affordable alternative for precise mandibular movement analysis.
This approach facilitates the incorporation of kinematic data into digital dentistry workflows, potentially improving treatment planning and outcomes.
The use of open-source software significantly reduces the financial barrier to advanced dental movement tracking.