3dMD facial images and deep transfer learning have been firstly combined for evaluating the facial attractiveness in patients undergoing Orthognathic surgery.
Applying standard acquisition protocols, 3D neutral expression facial images were captured using 3dMDface systems of participants during their annual visits from 2018 to 2022.
We included all children with scans, either from 3D CT skin reconstructed images or from a 3dMDhead system to undergo the morphometric analyses.
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 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).
We recently used surface imaging modalities to develop regional measures quantifying elongation in the frontal bossing index and occipital bullet index.
Use of 3D imaging for volume measurement in head and neck lymphedema has not been previously studied. Our study demonstrates that… it is an effective tool in evaluating head and neck lymphedema.