The 3D Facial Norms Database: Part 1. A Web-Based Craniofacial Anthropometric and Image Repository for the Clinical and Research Community. (November 2016)

• Record Type: Journal Article
• Authors: Weinberg, Seth M.; Raffensperger, Zachary D.; Kesterke, Matthew J.; Heike, Carrie L.; Cunningham, Michael L.; Hecht, Jacqueline T.; Kau, Chung How; Murray, Jeffrey C.; Wehby, George L.; Moreno, Lina M.; Marazita, Mary L.
• Is Part Of: Cleft palate-craniofacial journal. Volume 53:Number 6(2016)
• Page Start: 185
• Page End: 197
• Publication Date: 2016-11
• Subjects: 3D facial imaging -- anthropometry -- norms -- stereophotogrammetry; Cleft palate -- Periodicals; Skull -- Abnormalities -- Periodicals; Cranial manipulation -- Periodicals; Skull -- Abnormalities -- Surgery -- Periodicals; Face -- Abnormalities -- Surgery -- Periodicals; Fente palatine -- Périodiques; Crâne -- Malformations -- Périodiques; Manipulation crânienne -- Périodiques; Crâne -- Malformations -- Chirurgie -- Périodiques; Face -- Malformations -- Chirurgie -- Périodiques; Cleft palate; Cranial manipulation; Face -- Abnormalities -- Surgery; Skull -- Abnormalities; Skull -- Abnormalities -- Surgery; Cleft Lip; Cleft Palate; Facial Bones -- abnormalities; Skull -- abnormalities; Periodicals; Periodicals; Periodicals; 617.522
• DOI: 10.1597/15-199
• Languages: English
• ISSNs: 1055-6656

Abstract

With the current widespread use of three-dimensional (3D) facial surface imaging in clinical and research environments, there is a growing demand for high-quality craniofacial norms based on 3D imaging technology. The principal goal of the 3D Facial Norms (3DFN) project was to create an interactive, Web-based repository of 3D facial images and measurements. Unlike other repositories, users can gain access to both summary-level statistics and individual-level data, including 3D facial landmark coordinates, 3D-derived anthropometric measurements, 3D facial surface images, and genotypes from every individual in the dataset. The 3DFN database currently consists of 2454 male and female participants ranging in age from 3 to 40 years. The subjects were recruited at four US sites and screened for a history of craniofacial conditions. The goal of this article is to introduce readers to the 3DFN repository by providing a general overview of the project, explaining the rationale behind the creation of the database, and describing the methods used to collect the data. Sex- and age-specific summary statistics (means and standard deviations) and growth curves for every anthropometric measurement in the 3DFN dataset are provided as a supplement available online. These summary statistics and growth curves can aid clinicians in the assessment of craniofacial dysmorphology.