Artificial intelligence-based CBCT segmentation in the presence of metallic artefacts for 3D virtual orofacial patient generation
AI-based CBCT segmentation can reliably generate 3D models of the mandible and teeth, even in the presence of zirconia crowns. This suggests a promising alternative to intraoral scanning in specific clinical scenarios, provided that expert validation is ensured.
Authors
- Stijn Van Aelst (ORCID: https://orcid.org/0009-0000-8102-6998)
- Rocharles Cavalcante Fontenele (ORCID: https://orcid.org/0000-0002-6426-9768)
- Bahaaeldeen M. Elgarba (ORCID: https://orcid.org/0000-0003-4936-6567)
- Reinhilde Jacobs (ORCID: https://orcid.org/0000-0002-3461-0363)
- Luiz Eduardo Marinho-Vieira (ORCID: https://orcid.org/0000-0001-5701-5164)
- Sâmia Mouzinho‐Machado (ORCID: https://orcid.org/0000-0002-9144-0735)
- Matheus L. Oliveira (ORCID: https://orcid.org/0000-0002-8054-8759)
Institutions
- Universidade de São Paulo (BR)
- Universidade Estadual de Campinas (UNICAMP) (BR)
- KU Leuven (BE)
Publication Details
- Journal
- Journal of Dentistry
- Published
- 2025-11-08
- DOI
- https://doi.org/10.1016/j.jdent.2025.106223
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00