A Digital Workflow for Virtual Articulator Mounting Using Face Scan and Facebow Capture: A Proof-of-Concept
<b>Objectives:</b> This article introduces a digital technique for virtual articulator mounting by employing the scan of a facebow worn by the patient as a virtual reference. <b>Methods:</b> The digital technique enables the transfer of the maxillary arch orientation relative to the cranial base into a CAD-CAM environment (Ceramill Mind; AmannGirrbach), without the need for ionizing radiation or identification of facial landmarks. By digitally aligning the intraoral scans of the dental arches (Trios 4; 3Shape) with a 3D facial scan and the scanned facebow in position (Artex; AmannGirrbach), clinicians can reproduce the cranium-to-maxilla spatial relationship accurately and intuitively. <b>Results:</b> This radiation-free protocol provides virtual cross-mounting and allows for the use of a semi-adjustable articulator within common CAD-CAM software. <b>Conclusions:</b> Given that intraoral scanners, facial scanners, and design software with articulator simulation are becoming more available in modern clinical workflows, this method introduced here could be a viable radiation-free and easy-to-use alternative. However, larger cohorts and standardized testing protocols are needed to determine its clinical reproducibility and reliability.
Authors
- Giuseppe D’Albis (ORCID: https://orcid.org/0000-0002-3577-3711)
- Marta Forte (ORCID: https://orcid.org/0009-0009-7323-6405)
- Saverio Capodiferro (ORCID: https://orcid.org/0000-0002-9819-6229)
- Víctor Díaz‐Flores García (ORCID: https://orcid.org/0000-0001-6141-0546)
- Massimo Corsalini (ORCID: https://orcid.org/0000-0002-0521-1363)
- Laura Ștef (ORCID: https://orcid.org/0000-0002-2553-3132)
- Diana Ramona Feier (ORCID: https://orcid.org/0000-0002-3007-8410)
Institutions
- Lucian Blaga University of Sibiu (RO)
- Dimitrie Cantemir University (RO)
- University of Bari Aldo Moro (IT)
- Universidad Europea de Madrid (ES)
Publication Details
- Journal
- Dentistry Journal
- Published
- 2025-08-20
- DOI
- https://doi.org/10.3390/dj13080378
- Citations
- 4
- Primary Topic
- Hand Gesture Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 7.74