Three-dimensional analysis of facial morphology in nine-year-old children with different unilateral orofacial clefts compared to normative data. M Crins-de Koning, R Bruggink, M Nienhuijs, T Wagner, EM Bronkhorst, EM Ongkosuwito.

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.

Can we identify a Surface Phenotype and Prediction Model for Obstructive Sleep Apnoea? A case-Control Study. A Johal, B Agha, LF Zou.

Between September 2016 and April 2018, all 118 middle-aged Caucasian male subjects were capture with the 3dMDface.t System using a novel technique for the registration of head position during image acquisition. The 3D surface structures were assessed using 3dMDvultus software and 36 surface variables were analyzed including linear, angular measurements, and proportions.

A new method to orient a 3-dimensional facial model to natural head position: A preliminary report on accuracy and reproducibility, AA Yin, Y Dong, X Zhang, BQ Song, SZ Bai.

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.