The 3D Facial Norms Database: Part 1. A Web-Based Craniofacial Anthropometric and Image Repository for the Clinical and Research Community.
The 3D Facial Norms Database: Part 1. A Web-Based Craniofacial Anthropometric and Image Repository for the Clinical and Research Community.
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DOI：
10.1597/15-199
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发表时间：
2016-11
期刊：
影响因子：
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通讯作者：
Marazita ML
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文献类型：
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作者：
Weinberg SM;Raffensperger ZD;Kesterke MJ;Heike CL;Cunningham ML;Hecht JT;Kau CH;Murray JC;Wehby GL;Moreno LM;Marazita ML
随着当前3D面部表面成像在临床和研究环境中的广泛使用，对基于3D成像技术的高质量颅面规范的需求不断增长。3D Facial Norms（3DFN）项目的主要目标是创建一个基于Web的交互式3D面部图像和测量数据库。与其他存储库不同，用户可以访问汇总级统计数据以及个人级数据，包括数据集中每个人的3D面部地标坐标，3D衍生人体测量，3D面部表面图像和基因型。3DFN数据库目前由2454名年龄在3-40岁之间的男性和女性参与者组成。这些受试者在美国的四个研究中心招募，并筛选颅面疾病史。本文的目标是通过提供项目的总体概述，解释创建数据库的基本原理，并描述用于收集数据的方法，向读者介绍3DFN存储库。作为补充，提供了3DFN数据集中每个人体测量的性别和年龄特异性汇总统计量（平均值和标准差）和生长曲线。这些概括的统计和生长曲线可以帮助临床医生在颅面畸形的评估。
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.