EVALUATION OF THE ACCURACY OF FACE SCANNING METHODS APPLIED IN DIGITAL DENTISTRY

Ngọc Phúc Nguyễn 1,, Việt Hoàng 1, Hữu Tuệ Nguyễn 1, Nhật Uyên Trang Đoàn 1, Minh Khuê Vũ 1, Chí Khang Dương 1, Sỹ An Lê 1, Hùng Lâm Trần 1
1 Van Lang University

Main Article Content

Abstract

Background: Digital dentistry has become a crucial foundation for enhanced diagnosis, planning, and treatment1. 3D facial scanning technology is a notable achievement, allowing the reconstruction of comprehensive virtual patient models to support various dental applications. Compared to traditional methods, 3D face scanning offers advantages such as detailed three-dimensional data acquisition, fast procedures, and non-invasiveness1. However, there is currently no systematic and comprehensive study in Vietnam evaluating the accuracy of popular external facial scanning methods. Methods: This study was conducted to compare the accuracy of four facial scanning systems (RAYFace, Metismile, Heges, Polycam) against a digital electronic caliper, which was utilized as the standard for comparison. A 3D printed human head model was designed using Blender software and standardized anatomical landmarks were affixed. A total of 40 facial scans were collected, with 10 measurements taken for each method. Five pairs of anatomical landmarks were measured using the automatic measurement tool in Blender software. Statistical analysis employed the One-way ANOVA test to compare mean values, with statistical significance set at p < 0.05. Results: Statistical analysis revealed a statistically significant difference between all facial scanning methods (RAYFace, Metismile, Heges, Polycam) compared to the digital caliper for all measured landmark pairs (ExR-ExL, EnR-EnL, Gb-N, RCH-LCH, LCH-POG). Conclusion: All tested external facial scanning systems demonstrated a statistically significant difference compared to the digital caliper in measuring landmark distances on the 3D printed head model. Nevertheless, 3D facial scanning technology remains a prominent achievement for acquiring detailed 3D data, contributing to a complete digital patient record.

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References

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