Face Growth Modeling with Increasing Age in Child and Adolescents

Purpose: The purpose of this study is to present a cranifacial growth model using anthropometry based on changes observed in the human face. Materials and Methods: This cross sectional analytical study was conducted randomly on 45 pepole, with normal face patterns.Facial and cranial ratios were measured and compared. Data was analyzed by SPSS software. The regression line and the growth coefficient were determined for each Parameter. Finally, the mean values of these parameters were determined. Facial growth. pattern was drawn on the basis of on the growth parameters. A anthropometric ratios were obtained on the basis of facial landmark. Results: This research presents cranifacial growth model for young faces (2-18-years-old) using anthropometry based on changes observed in the human face that can be used as a method for growth parameters calculation.This model can also predict tailored face changes with the lapse of time.Conclusion: This model can be used for face recognition as well, on the other hand the results of this research can be used in medical professions such as maxillofacial surgery, growth and development studies, plastic surgery, bioengineering and non-medical fields such as shoe-making and eye glasses industries.