Comparison of the Trueness of Different 3D Facial Scanners | ||||
| Alexandria Dental Journal | ||||
| Articles in Press, Corrected Proof, Available Online from 05 April 2025 PDF (301.74 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/adjalexu.2024.342344.1567 | ||||
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| Authors | ||||
Nada A. Abdelhakim   1; Rodrigo Salazar-Gamarra 2; Lucette G. Segaan 3; Ingy S. Soliman 3
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| 1Department of Prosthodontics, Faculty of Dentistry, Alexandria University, Alexandria, Egypt | ||||
| 2Research Digital Laboratory Instituto Mais Identidade, São Paulo, Brazil. | ||||
| 3Department of Prosthodontics, Faculty of Dentistry, Alexandria University, Alexandria, Egypt. | ||||
| Abstract | ||||
| INTRODUCTION: Face scanners (FSs) using various technologies have become essential for creating three-dimensional (3D) virtual patients for clinical applications, but many remain costly and inaccessible. Affordable alternatives exist, but their accuracy in dental settings is unclear. OBJECTIVES: This study aimed to evaluate the trueness of 3D facial reconstructions produced by three cost-effective scanners for clinical use. METHODOLOGY: The face of a 30-year-old male was scanned using the Planmeca ProMax 3D ProFace as the control. Three scanners—Revopoint MINI, iPhone 13 Pro Max with Plus Identity photogrammetry (+ID), and Cloner—each performed 10 scans, generating 30 test models. Geomagic Control X assessed trueness by calculating the mean root mean square (RMS) of surface deviations. Trueness was categorized as highly reliable (1.5–2 mm), or unreliable (>2 mm). Trueness and trueness categories of the FSs were compared using ANOVA and chi square respectively. RESULTS: Trueness of the FSs differed significantly (p < 0.004), with Revopoint MINI showing the greatest trueness (mean ± SD = 0.9 ± 0.37), and 80% of its models classified as highly reliable. All FSs showed clinically acceptable scanning accuracy with deviations < 2 mm. CONCLUSIONS: The tested low-cost scanners demonstrated clinically acceptable trueness ( | ||||
| Keywords | ||||
| Facial scanning; Accuracy; Photogrammetry; Smartphone; Structured light | ||||
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