The Revopoint MIRACO Pro requires multiple scans around the face, causing motion artifacts that may limit its applicability in less cooperative cohorts, such as children or patients with cognitive and neurological impairments, unless further validation studies demonstrate its clinical suitability in these groups.
Abstract
Handheld systems for three-dimensional (3D) imaging of facial soft tissues are gaining increasing attention due to their affordability, portability, and user-friendliness. However, their reliability for 3D facial analysis should be verified before being integrated into clinical and research settings. We tested a novel device, the Revopoint MIRACO Pro, on 55 adults and a mannequin head, and we compared it with two validated devices. Intra- and inter-instrument reliability for traditional anthropometric parameters was evaluated through several statistical approaches. Additionally, the Root Mean Square (RMS) point-to-point distance was calculated between 3D images acquired through the different devices. Overall, all three instruments consistently reproduced the 3D facial structure across subjects, with 25 out of 27 measurements demonstrating high intra- and inter-device agreement and non-clinically significant biases. Furthermore, surface area assessments proved highly reliable, whereas volume measurements did not, and the RMS showed clinically acceptable congruence with slight variability caused by facial mimicry and involuntary movements of participants. Despite its affordability and practicality, the Revopoint MIRACO Pro requires multiple scans around the face, causing motion artifacts that may limit its applicability in less cooperative cohorts, such as children or patients with cognitive and neurological impairments, unless further validation studies demonstrate its clinical suitabilityin these groups.
OBJECTIVE
To compare the global and regional trueness, native-scale usability, and full-face scanning time of three smartphone-based photogrammetry applications.
METHODS
Thirty mannequin-head scans (n=10/application) were acquired with an iPhone 17 Pro using Polycam v.5.2.0, Qlone Dental v.1.0.14, and KIRI Engine v.4...
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PURPOSE
The aim of this in vivo study was to evaluate and compare the accuracy (trueness and precision) of three portable facial scanning methods: a professional handheld structured-light scanner (P-HS), a low-cost handheld structured-light scanner (LC-HS), and a smartphone with a depth-sensing camera (SP).
MATERIALS...
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