COMPARATIVE ANALYSIS OF FOUR FACIAL-SCANNERS FOR CLINICAL AND RESEARCH APPLICATIONS

Grad Rareș, Cârstea Alexia-Ecaterina, Vasilescu Vlad-Gabriel, Tâncu Ana-Maria-Cristiana, Imre Marina, Ciocan Lucian-Toma

ABSTRACT

Introduction This study evaluates the comparative performance of four facial-scanning systems—RAYFace, Shining 3D Einscan HX, Revopoint Inspire, and the Abound iOS application—used in clinical craniofacial imaging. As 3D scanning becomes increasingly relevant in dentistry, accurate and efficient solutions are essential for widespread implementation. Purpose The aim is to compare these four systems regarding geometric trueness, workflow efficiency, cost, and clinical applicability. The study seeks to determine which scanner offers the most balanced combination of precision and practicality in clinical settings. Materials and Methods Seven healthy volunteers underwent scans with each system under standardized lighting and posture conditions. Scan data were analyzed using surface deviation maps and landmark-based measurements, with RAYFace as the reference standard. Results RAYFace demonstrated the highest accuracy, while Einscan HX was the most precise among mobile systems (0.72 mm mean deviation). Revopoint and Abound exhibited greater variability and depth-bias, particularly at lateral landmarks. Conclusions RAYFace and Einscan HX deliver high-fidelity outputs but require substantial investment or operator training. Portable alternatives like Revopoint and Abound are more user-friendly and affordable but less reliable for high-precision tasks. Scanner selection should be guided by the intended clinical use, balancing accuracy with cost and ease of use. RAYFace remains ideal for high-precision applications, while Revopoint and Abound may suffice for preliminary use cases or educational applications.

DOI : 10.62610/RJOR.2025.3.17.7