Craniofacial anthropometry (the measurement and analysis of head and face dimensions) has been used to assess and
describe abnormal craniofacial variation (dysmorphology) and the facial phenotype in many medical syndromes.
Traditionally, anthropometry measurements have been collected by the direct application of calipers and tape measures
to the subject's head and face, and can suffer from inaccuracies due to restless subjects, erroneous landmark
identification, clinician variability, and other forms of human error. Three-dimensional imaging technologies promise a
more effective alternative that separates the acquisition and measurement phases to reduce these variabilities while also
enabling novel measurements and longitudinal analysis of subjects. Indiana University (IU) is part of an international
consortium of researchers studying fetal alcohol spectrum disorders (FASD). Fetal alcohol exposure results in
predictable craniofacial dysmorphologies, and anthropometry has been proven to be an effective diagnosis tool for the
condition. IU is leading a project to study the use of 3D surface scanning to acquire anthropometry data in order to more
accurately diagnose FASD, especially in its milder forms. This paper describes our experiences in selecting, verifying,
supporting, and coordinating a set of 3D scanning systems for use in collecting facial scans and anthropometric data
from around the world.