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Application of Digital Anthropometry for Craniofacial Assessment

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Publisher Sage Publications
Date 2014 Jul 23
PMID 25050146
Citations 12
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Abstract

Craniofacial anthropometry is an objective technique based on a series of measurements and proportions, which facilitate the characterization of phenotypic variation and quantification of dysmorphology. With the introduction of stereophotography, it is possible to acquire a lifelike three-dimensional (3D) image of the face with natural color and texture. Most of the traditional anthropometric landmarks can be identified on these 3D photographs using specialized software. Therefore, it has become possible to compute new digital measurements, which were not feasible with traditional instruments. The term "digital anthropometry" has been used by researchers based on such systems to separate their methods from conventional manual measurements. Anthropometry has been traditionally used as a research tool. With the advent of digital anthropometry, this technique can be employed in several disciplines as a noninvasive tool for quantifying facial morphology. The aim of this review is to provide a broad overview of digital anthropometry and discuss its clinical applications.

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References
1.
Kolar J, Salter E . Preoperative anthropometric dysmorphology in metopic synostosis. Am J Phys Anthropol. 1997; 103(3):341-51. DOI: 10.1002/(SICI)1096-8644(199707)103:3<341::AID-AJPA4>3.0.CO;2-T. View

2.
Farkas L, Katic M, Forrest C, Alt K, Bagic I, Baltadjiev G . International anthropometric study of facial morphology in various ethnic groups/races. J Craniofac Surg. 2005; 16(4):615-46. DOI: 10.1097/01.scs.0000171847.58031.9e. View

3.
Allanson J . Objective techniques for craniofacial assessment: what are the choices?. Am J Med Genet. 1997; 70(1):1-5. DOI: 10.1002/(sici)1096-8628(19970502)70:1<1::aid-ajmg1>3.0.co;2-3. View

4.
Ridgway E, Wu J, Sullivan S, Vasudavan S, Padwa B, Rogers G . Craniofacial growth in patients with FGFR3Pro250Arg mutation after fronto-orbital advancement in infancy. J Craniofac Surg. 2011; 22(2):455-61. DOI: 10.1097/SCS.0b013e3182077d93. View

5.
Mulliken J, Burvin R, FARKAS L . Repair of bilateral complete cleft lip: intraoperative nasolabial anthropometry. Plast Reconstr Surg. 2001; 107(2):307-14. DOI: 10.1097/00006534-200102000-00001. View