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Establishment of a three-dimensional face template dataset with different nasal morphologies and its application in
Aonan Wen1, Xiaohui Zhang2, Yujia Zhu1
1Center of Digital Dentistry/Department of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing China; National Center for Stomatology, Beijing China; National Clinical Research Center for Oral Diseases, Beijing China; National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing China; Beijing Key Laboratory of Digital Stomatology, Beijing China; NHC Key Laboratory of Digital Stomatology, Beijing China.
Objectives:
This study aimed to construct three-dimensional (3D) face templates with diverse nasal morphologies, establish a 3D face template dataset, and evaluate its application in fabricating nasal defect prostheses.
Methods:
The 3D facial data of 115 adult males and 115 adult females with different nasal morphologies were screened from the 3D facial database of Peking University Hospital of Stomatology. These data were used to construct 3D face templates for males and females with 6 different nasal morphology types, forming a comprehensive 3D face template dataset. Based on the Procrustes Analysis (PA)-Non-Rigid Iterative Closest Point (PA-NICP) algorithm proposed by our research group, nasal prosthesis morphologies were constructed with the template dataset and compared against those constructed with the general template. In total, 60 artificially constructed nasal defect datasets, representing 5 samples for each of the 6 types of nasal morphologies in both males and females, were used. The nasal prosthesis morphologies constructed using the template dataset were used as the experimental group, whereas those constructed using the general template were used as the control group. The 3D deviation between the prosthesis morphology and the original nasal morphology of participants was calculated to compare the effectiveness of the experimental and control groups.
Results:
A dataset of 12 3D face templates was successfully created. For the 60 nasal defect datasets, the average 3D deviations of the constructed nasal prosthesis morphologies in the experimental and control groups were 1.18 ± 0.37 mm and 1.55 ± 0.51 mm, respectively. The differences between the two groups were statistically significant. For specific nasal morphologies, the experimental group consistently showed smaller 3D deviations, particularly in cases of saddle nose and hump nose for males and saddle nose, lion nose, garlic nose, and hump nose for females.
Conclusions:
Compared to a general 3D face template, the 3D face template dataset demonstrated clinical applicability in constructing nasal prosthesis morphology.
Clinical Significance:
This study established a 3D face template dataset with different nasal morphologies. The template dataset combined with a non-rigid registration algorithm can enable efficient digital design of nasal prosthesis morphology, demonstrating good clinical applicability.
