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.
We conducted this study to identify phenotypes of obstructive sleep apnea (OSA) in children based on lifestyle, sleep habits, age, obesity, sex, soft tissue facial features, and specific craniofacial abnormalities.
The findings suggest that until age 6, there are no significant differences… therefore, efforts should be made to ensure early diagnosis so that minimally invasive surgery is a viable treatment option.
We present a fully automated pipeline to identify craniofacial landmarks in real time, and we use it to assess the head shape of patients with craniosynostosis using 3D photogrammetry.
Infants received 3dMD scans at 2 months of age, at clinical resolution of their head shape, and at 12 months of age. If their head shape was not resolved by 12 months of age, they received only two 3dMD scans (at 2 and 12 months of age).