A non-ionizing method for facial diagnosis and orthodontic treatment planning combines 3D stereophotogrammetric facial imaging (3dMD) and 3D intra-oral scanning (3Shape).
3dMD images of cleft patients were captured under standardized conditions between 2016 and 2022 and maintained in the database of the Amalia Cleft Palate and Craniofacial Unit of the Radboudumc, Nijmegen, the Netherlands.
All patients underwent 3dMD scans prior to orthodontic treatment. Then the differences in the 3D morphological parameters of the facial soft tissues were compared between different sexes and different types of malocclusion.
Orthodontic treatment has brought changes in facial soft and hard tissues, which has a potential effect in personal identification.
3dMD records of three infants were taken before NAM(T0), after NAM(T1) and one month after surgery(T2).
The 3D geometric morphometry in OAVS patients could be a useful tool for objective facial asymmetry assessment in patients with OAVS.
To establish and validate a novel method to orient a 3-dimensional (3D) facial model to natural head position (NHP) in a stereophotogrammetric system using a 2-dimensional frontal full-face photograph of NHP.
In summary, this study will serve as evidence to guide clinicians in deciding whether to perform the T&A on patients prior to functional therapy based on a wide range of objectively and subjectively measured outcomes and provide a reference for multidisciplinary management of OSA with craniofacial alterations in growing children.
A deep learning-based approach for automated landmark extraction from 3dMD facial photographs was developed and its precision was evaluated. The results showed high precision and consistency in landmark annotation, comparable to manual and semi-automatic annotation methods.
The sample of the present retrospective study consisted of 14 MZ twin pairs recruited from the archive of Marmara University. The 3dMDface system was used to capture the twin pairs.