3dMD Announces the Next Generation of Downstream Dynamic-4D Image Analysis Software.
3dMD’s natural software evolution to more sophisticated dynamic-4D image analysis, landmark detection, and feature tracking capabilities.
Fully automated landmarking and facial segmentation on 3D photographs. B Berends, F Bielevelt, R Schreurs, et al.
A deep learning-based approach for automated landmark extraction from 3dMD facial photographs was developed and its precision was evaluated. The results showed high precision and consistency in landmark annotation, comparable to manual and semi-automatic annotation methods.
A quantitative method for the assessment of facial attractiveness based on transfer learning with fine-grained image classification. LJ Lo, CT Yang, WC Chiang, HH Lin.
3dMD facial images and deep transfer learning have been firstly combined for evaluating the facial attractiveness in patients undergoing Orthognathic surgery.
What can a morphometric study of unoperated children teach us about the natural history of metopic synostosis? AM Elawadly, LPJ Smith, A Borghi, KI Abdelaziz, AH Dulanka Silva, DJ Dunaway, NU Owase Jeelani, J Ong, RD Hayward, G James.
We included all children with scans, either from 3D CT skin reconstructed images or from a 3dMDhead system to undergo the morphometric analyses.
Impact of Unilateral Alveolar Bone Grafting on Nasal Volume and Nasolabial Surface: A 3D Analysis. WJL Sijmons, LL Krijt, R Bruggink, EM Ongkosuwito, MAR Kuijpers.
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.
Influence of presurgical nasoalveolar molding (PNAM) treatment in maxillary dental arch width and nasolabial symmetry in patients with unilateral complete cleft lip and palate. L Chang, Q Huang, Z Ren, Y Wang, Y Jiao, Y Tao, H Zhao, Y Hou.
The 3dMDface system was used to capture the nasolabial morphology of the individuals.
Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry. C Elkhill, J Liu, MG Linguraru, S LeBeau, D Khechoyan, B French, AR Porras.
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.
An examination of 3-dimensional change for infants with deformational plagiocephaly. T Graham, J Wang, V Moses, S Briggs, et al.
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).
Creation of the Scaphocephalic Index. M Blondin, G Bins, L Zhou, R Layton, B Dunson, S Kogan, L David, C Runyan.
We recently used surface imaging modalities to develop regional measures quantifying elongation in the frontal bossing index and occipital bullet index.
Measuring the Unilateral Cleft Lip Nasal Deformity: Lateral Deviation of Subnasale Is a Clinical and Morphologic Index of Unrepaired Severity. Tse RW, Sitzman TJ, Allori AC, et al.
Quantitative measures of severity transcend cleft type and can be used to grade clinical severity.