Three-dimensional facial images of 2454 participants in the 3D Facial Norms (3DFN) project were obtained using the 3dMDface system.
As the first step in customizing the prototype, a set of 21 facial anthropometric landmarks and 15 dimensions was selected for the design. The faces of three members of the research team were scanned using a 3dMD digital scanning system. From these scans, algorithms were developed to create digital representations of the contours of the RPD frame.
Our approach substantially minimizes human intervention simplifying the clinical routine and interaction with 3D scans. The proposed pipeline can potentially more effectively analyze and monitor patient treatment progress.
We acquired neutral facial expression 3D images using the 3dMD system. Patients were imaged with a cone beam computed tomography (CBCT) and/or 3dMD system before and one year after the autologous bone graft (ABG) procedure.
The aim of this study was to describe a reproducible method to calculate facial volume change and to assess its reliability.
The sample consisted of 20 randomly selected 3D photos at rest (ten 8-12-year-old children and ten 20-40-year-old adults, with equal gender distribution), from a preexisting orthodontic patient sample.
The 3dMDface system was used to capture the nasolabial morphology of the individuals.
3D real scans: We acquired 3D scans of 20 subjects (5 females and 15 males) with a 3dMD HR scanner. Subjects are mainly students and university personnel, 30 years old on average.
The sample of the present retrospective study consisted of 14 MZ twin pairs recruited from the archive of Marmara University. The 3dMDface system was used to capture the twin pairs.
This study employed 283 3D-ear scans from Korean individuals, captured using a high-precision 3dMD scanner.