To develop sports bras that effectively limiting breast movement while minimize stress on the breast tissues, it is crucial to gain a comprehensive understanding of the breast movement and deformation patterns.
Preoperative baseline breast measurements, age, and BMI can impact bra designs for breast cancer survivors who undergo autologous reconstruction due to size, shape, and symmetry changes. Bra needs of people who undergo autologous reconstruction differ from those who undergo implant-based reconstruction.
101 patients from 2005 to 2022 were selected for inclusion according to the following criteria: diagnosis molecularly confirmed; were of Caucasian descent; had only premature fusion of left and/or right coronal suture(s); had undergone only one craniofacial surgery; were younger than 18 years; had undergone no orthodontic treatment; had no extraction of permanent teeth; and had not undergone maxillary osteotomy.
3dMD facial images and deep transfer learning have been firstly combined for evaluating the facial attractiveness in patients undergoing Orthognathic surgery.
The hand at a straight neutral posture was scanned using the 3dMDhand system. Next, the hand was scanned while in a power grip at each of three wrist postures (20° of radial deviation, neutral, and 30° of ulnar deviation), along with the corresponding palmar hand cast.
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.
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.
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.