Conventional alginate impressions are still a burden to both the patient and the operator especially in extraoral maxillofacial rehabilitations cases. Nowadays face scanners are becoming more popular with their increased accuracy in taking facial scans, facilitating the digital workflow. This study will be done to investigate the accuracy of three different face scanning techniques; stationary, handheld and mobile application techniques. A number of sixty volunteers will be recruited. Conventional facial impressions will be made for each participant and the resulting casts will be desktop scanned to act as the control group. Three face scanning techniques will be used for each participant; stationary (Ray face scanner), handheld (Shining 3d face scanner) and mobile phone applications (Heges; Maerk Simonik). The STL files will be compared to that of the control group for comparison of accuracy in the terms of Trueness and Precision.
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
accuracy measurement
Timeframe: 7 months