The Journal of Advanced Prosthodontics

The Korean Academy of Prosthodonitics (대한치과보철학회)
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Three-dimensional morphometric analysis of facial units in virtual smiling facial images with different smile expressions

  • Hang-Nga Mai (Institute for Translational Research in Dentistry, School of Dentistry, Kyungpook National University) ;
  • Thaw Thaw Win (Department of Prosthodontics, School of Dentistry, Kyungpook National University) ;
  • Minh Son Tong (School of Dentistry, Hanoi Medical University) ;
  • Cheong-Hee Lee (Department of Prosthodontics, School of Dentistry, Kyungpook National University) ;
  • Kyu-Bok Lee (Department of Prosthodontics, School of Dentistry, Kyungpook National University) ;
  • So-Yeun Kim (Department of Prosthodontics, School of Dentistry, Kyungpook National University) ;
  • Hyun-Woo Lee (Department of Oral and Maxillofacial Surgery, Uijeongbu Eulji Medical Center, Eulji University School of Dentistry) ;
  • Du-Hyeong Lee (Institute for Translational Research in Dentistry, School of Dentistry, Kyungpook National University)
  • Received : 2022.05.20
  • Accepted : 2023.01.31
  • Published : 2023.02.28
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Abstract

PURPOSE. Accuracy of image matching between resting and smiling facial models is affected by the stability of the reference surfaces. This study aimed to investigate the morphometric variations in subdivided facial units during resting, posed and spontaneous smiling. MATERIALS AND METHODS. The posed and spontaneous smiling faces of 33 adults were digitized and registered to the resting faces. The morphological changes of subdivided facial units at the forehead (upper and lower central, upper and lower lateral, and temple), nasal (dorsum, tip, lateral wall, and alar lobules), and chin (central and lateral) regions were assessed by measuring the 3D mesh deviations between the smiling and resting facial models. The one-way analysis of variance, Duncan post hoc tests, and Student's t-test were used to determine the differences among the groups (α = .05). RESULTS. The smallest morphometric changes were observed at the upper and central forehead and nasal dorsum; meanwhile, the largest deviation was found at the nasal alar lobules in both the posed and spontaneous smiles (P < .001). The spontaneous smile generally resulted in larger facial unit changes than the posed smile, and significant difference was observed at the alar lobules, central chin, and lateral chin units (P < .001). CONCLUSION. The upper and central forehead and nasal dorsum are reliable areas for image matching between resting and smiling 3D facial images. The central chin area can be considered an additional reference area for posed smiles; however, special cautions should be taken when selecting this area as references for spontaneous smiles.

Keywords

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