Anthropometric accuracy of three-dimensional average faces compared to conventional facial measurements. Z Shan, R TC Hsung, C Zhang et al.
This excerpt will show up on the home page Blog/News feed
Training AI, Wearing Tech,
and Imaging Health.
This excerpt will show up on the home page Blog/News feed
The purpose of this research was to introduce the use of 4D scanning technology to understand breast shape in motion. Twenty-six female participants who identified themselves as wearing Missy Size 18 were recruited for scanning. Three most common bust measurements were tracked in dynamic states and compared with the static state.
This is a retrospective serial longitudinal study of consecutively enrolled infants from September 2012 to July 2016 with BCLP who underwent NAM before primary lip and nose reconstructive surgery.
This study evaluates the effects of rapid maxillary expansion (RME) and mandibular midline distraction osteogenesis (MMDO) on facial soft tissues using three-dimensional (3D) images.
This excerpt will show up on the home page Blog/News feed
This study believes 3D printed templates usage increases time efficiency, improves the match of skin flaps in donor and recipient arms, and allows us to control the amount of skin surplus without skin flap tip necrosis. In these procedures where time is of the essence, this team believes pre-operative planning is imperative for its success.
This excerpt will show up on the home page Blog/News feed
This study focused on developing a novel deep-learning (DL)-based algorithm to predict the virtual soft tissue profile after mandibular advancement surgery and comparing its accuracy with the mass tensor model (MTM).
This excerpt will show up on the home page Blog/News feed
The workflow… we first performed facial geometry capture with a 3dMD system; imported into landmarker.io to annotate each face manually to achieve ground-truth; rasterized each face at 49 angles and 6 focal lengths; calculated the ground-truth 2D landmark locations; and analyzed performance of each method by calculating NRMSE error between a method’s predicted landmarks and the 2D ground-truth locations.