The 3D Facial Norms Database: Part 1. A Web-Based Craniofacial Anthropometric and Image Repository for the Clinical and Research Community
Published Date:Oct 22 2015
Source:Cleft Palate Craniofac J. 53(6):e185-e197.
Pubmed Central ID:PMC4841760
Funding:U01 DE020078/DE/NIDCR NIH HHS/United States
R01 DE016148/DE/NIDCR NIH HHS/United States
UL1 TR000423/TR/NCATS NIH HHS/United States
R01 DD000295/DD/NCBDD CDC HHS/United States
U01 DE020057/DE/NIDCR NIH HHS/United States
With the current widespread use of 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 as well as 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 3–40 years. These subjects were recruited at four US sites and screened for a history of craniofacial conditions. The goal of this paper 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. These summary statistics and growth curves can aid clinicians in the assessment of craniofacial dysmorphology.
Supporting Files:No Additional Files
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