Comparison of the Trueness of Different 3D Facial Scanners

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 (

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Publication Details

Journal
Alexandria Dental Journal
Published
2025-04-05
DOI
https://doi.org/10.21608/adjalexu.2024.342344.1567
Primary Topic
Face recognition and analysis
Type
article
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article

Comparison of the Trueness of Different 3D Facial Scanners

Ingy S. Soliman, Lucette Segaan, Rodrigo Salazar‐Gamarra, Nada A. Abdelhakim
Alexandria Dental Journal
Face recognition and analysis
article

Comparison of the Trueness of Different 3D Facial Scanners

Ingy S. Soliman, Lucette Segaan, Rodrigo Salazar‐Gamarra, Nada A. Abdelhakim
article en

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 (

Alexandria Dental JournalVol. 0(0)
Alexandria University (EG)
Openalex Percentile: Top 94%
Face recognition and analysis
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Comparison of the Trueness of Different 3D Facial Scanners — Ingy S. Soliman, Lucette Segaan, et al. · Alexandria Dental Journal (2025) | TGRS Research Map | TGRS