Two-Year Progressive Cranial Changes Following the Melbourne Technique for Sagittal Craniosynostosis. LM Harrison, K Prezelski, RR Hallac, AA Kane, P Sanati-Mehrizy.

3dMDhead images were obtained preoperatively and postoperatively at 3 weeks, 3 months, 1 year, and 2 years. Head circumference, cephalic index, scaphocephalic index (SCI), frontal bossing index (FBI), occipital bullet index (OBI), and vertex narrowing index (VNI) were measured automatically using the 3dMDvultus Craniometrics Calculator.

Beyond the Surface: 3D and 4D Imaging for Craniofacial Assessment and Treatment. Rami R HALLAC.

Date: October 2024. Source: 3DBodyTech Conference, Lugano, Switzerland. Presenters: Rami R HALLAC, UT Southwestern Medical Center and Children’s Health, Dallas TX, USA, and Chris LANE, 3dMD. Rami R HALLAC Background: Dr. Hallac is an imaging scientist at Children’s Health and an associate professor at UT Southwestern Medical Center. Utilizing 3D imaging, modelling and printing, Dr.…

Laboratory Methods for a Pilot Study of the U.S. YouthShape Survey of Child and Youth Anthropometry and Physical Capability. MLH Jones, SM Ebert, CS Miller, BKD Park, H Jung, A Wood, LE Robinson, MP Reed.

High-resolution head and face surface data were gathered in a 3dMD system. Head scan data with a range of facial expressions to capture the associated variation in face shape is essential for the design of protective helmets and other head-borne equipment. High-resolution hand size and shape surface data were also recorded to include standardized and functional hand poses, including a flat hand, fist, and various grasps.

SHAPE: A visual computing pipeline for interactive landmarking of 3D photograms and patient reporting for assessing craniosynostosis. C Görg, C Elkhill, J Chaij, K Royalty, PD Nguyen, B French, AC Guerrero, AR Porras.

SHAPE reads in a patient’s 3D photogram, automatically places a set of craniofacial landmarks, allows for their manual confirmation and correction, and automatically computes both a series of standard clinical craniofacial measurements and machine learning-based metrics of head development prior to building an analysis report for upload to the patient’s electronic medical record.