A semi-automatic three-dimensional technique using a regionalized facial template enables facial growth assessment in healthy children from 1.5 to 5.0 years of age

Author:

Bruggink Robin12,Baan Frank12,Brons Sander3,Loonen Tom G.J.2,Kuijpers-Jagtman Anne Marie456,Maal Thomas J.J.27,Ongkosuwito Edwin M.18

Affiliation:

1. Department of Dentistry, Radboud University Medical Center, Nijmegen, The Netherlands

2. Radboudumc 3D Lab, Radboud University Medical Center, Nijmegen, The Netherlands

3. Orthodontie Merwestein, Nieuwegein, The Netherlands

4. Department of Orthodontics, University Medical Center Groningen, Groningen, The Netherlands

5. Faculty of Dentistry, Universitas Indonesia, Jakarta, Indonesia

6. Department of Orthodontics and Dentofacial Orthopedics, University of Bern, Bern, Switzerland

7. Department of Oral and Maxillofacial Surgery, Radboud University Medical Center, Nijmegen, The Netherlands

8. Amalia Cleft and Craniofacial Centre, Radboud University Medical Center, Nijmegen, The Netherlands

Abstract

Objectives To develop a semi-automatic technique to evaluate normative facial growth in healthy children between the age of 1.5 and 5.0 years using three-dimensional stereophotogrammetric images. Materials and Methods Three-dimensional facial images of healthy children at 1.5, 2.0, 2.5, 3.0, 4.0 and 5.0 years of age were collected and positioned based on a reference frame. A general face template was used to extract the face and its separate regions from the full stereophotogrammetric image. Furthermore, this template was used to create a uniform distributed mesh, which could be directly compared to other meshes. Average faces were created for each age group and mean growth was determined between consecutive groups for the full face and its separate regions. Finally, the results were tested for intra- and inter-operator performance. Results The highest growth velocity was present in the first period between 1.5 and 2.0 years of age with an average of 1.50 mm (±0.54 mm) per six months. After 2.0 years, facial growth velocity declined to only a third at the age of 5.0 years. Intra- and inter-operator variability was small and not significant. Conclusions The results show that this technique can be used for objective clinical evaluation of facial growth. Example normative facial averages and the corresponding facial growth between the age 1.5 and 5.0 years are shown. Clinical Relevance This technique can be used to collect and process facial data for objective clinical evaluation of facial growth in the individual patient. Furthermore, these data can be used as normative data in future comparative studies.

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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